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How to write a good scientific review article

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1 The FEBS Journal Editorial Office, Cambridge, UK.
PMID: 35792782
DOI: 10.1111/febs.16565

Literature reviews are valuable resources for the scientific community. With research accelerating at an unprecedented speed in recent years and more and more original papers being published, review articles have become increasingly important as a means to keep up to date with developments in a particular area of research. A good review article provides readers with an in-depth understanding of a field and highlights key gaps and challenges to address with future research. Writing a review article also helps to expand the writer's knowledge of their specialist area and to develop their analytical and communication skills, amongst other benefits. Thus, the importance of building review-writing into a scientific career cannot be overstated. In this instalment of The FEBS Journal's Words of Advice series, I provide detailed guidance on planning and writing an informative and engaging literature review.

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A Step-by-Step Guide to Writing a Scientific Review Article

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Manisha Bahl, A Step-by-Step Guide to Writing a Scientific Review Article, Journal of Breast Imaging , Volume 5, Issue 4, July/August 2023, Pages 480–485, https://doi.org/10.1093/jbi/wbad028

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Scientific review articles are comprehensive, focused reviews of the scientific literature written by subject matter experts. The task of writing a scientific review article can seem overwhelming; however, it can be managed by using an organized approach and devoting sufficient time to the process. The process involves selecting a topic about which the authors are knowledgeable and enthusiastic, conducting a literature search and critical analysis of the literature, and writing the article, which is composed of an abstract, introduction, body, and conclusion, with accompanying tables and figures. This article, which focuses on the narrative or traditional literature review, is intended to serve as a guide with practical steps for new writers. Tips for success are also discussed, including selecting a focused topic, maintaining objectivity and balance while writing, avoiding tedious data presentation in a laundry list format, moving from descriptions of the literature to critical analysis, avoiding simplistic conclusions, and budgeting time for the overall process.

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CAREER COLUMN
08 October 2018

How to write a thorough peer review

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Mathew Stiller-Reeve is a climate researcher at NORCE/Bjerknes Centre for Climate Research in Bergen, Norway, the leader of SciSnack.com, and a thematic editor at Geoscience Communication .

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Scientists do not receive enough peer-review training. To improve this situation, a small group of editors and I developed a peer-review workflow to guide reviewers in delivering useful and thorough analyses that can really help authors to improve their papers.

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How to Write a Literature Review | Guide, Examples, & Templates

How to Write a Literature Review | Guide, Examples, & Templates

Published on January 2, 2023 by Shona McCombes . Revised on September 11, 2023.

What is a literature review? A literature review is a survey of scholarly sources on a specific topic. It provides an overview of current knowledge, allowing you to identify relevant theories, methods, and gaps in the existing research that you can later apply to your paper, thesis, or dissertation topic .

There are five key steps to writing a literature review:

Search for relevant literature
Evaluate sources
Identify themes, debates, and gaps
Outline the structure
Write your literature review

A good literature review doesn’t just summarize sources—it analyzes, synthesizes , and critically evaluates to give a clear picture of the state of knowledge on the subject.

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What is the purpose of a literature review, examples of literature reviews, step 1 – search for relevant literature, step 2 – evaluate and select sources, step 3 – identify themes, debates, and gaps, step 4 – outline your literature review’s structure, step 5 – write your literature review, free lecture slides, other interesting articles, frequently asked questions, introduction.

Quick Run-through
Step 1 & 2

When you write a thesis , dissertation , or research paper , you will likely have to conduct a literature review to situate your research within existing knowledge. The literature review gives you a chance to:

Demonstrate your familiarity with the topic and its scholarly context
Develop a theoretical framework and methodology for your research
Position your work in relation to other researchers and theorists
Show how your research addresses a gap or contributes to a debate
Evaluate the current state of research and demonstrate your knowledge of the scholarly debates around your topic.

Writing literature reviews is a particularly important skill if you want to apply for graduate school or pursue a career in research. We’ve written a step-by-step guide that you can follow below.

Receive feedback on language, structure, and formatting

Professional editors proofread and edit your paper by focusing on:

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See an example

Writing literature reviews can be quite challenging! A good starting point could be to look at some examples, depending on what kind of literature review you’d like to write.

Example literature review #1: “Why Do People Migrate? A Review of the Theoretical Literature” ( Theoretical literature review about the development of economic migration theory from the 1950s to today.)
Example literature review #2: “Literature review as a research methodology: An overview and guidelines” ( Methodological literature review about interdisciplinary knowledge acquisition and production.)
Example literature review #3: “The Use of Technology in English Language Learning: A Literature Review” ( Thematic literature review about the effects of technology on language acquisition.)
Example literature review #4: “Learners’ Listening Comprehension Difficulties in English Language Learning: A Literature Review” ( Chronological literature review about how the concept of listening skills has changed over time.)

You can also check out our templates with literature review examples and sample outlines at the links below.

Download Word doc Download Google doc

Before you begin searching for literature, you need a clearly defined topic .

If you are writing the literature review section of a dissertation or research paper, you will search for literature related to your research problem and questions .

Make a list of keywords

Start by creating a list of keywords related to your research question. Include each of the key concepts or variables you’re interested in, and list any synonyms and related terms. You can add to this list as you discover new keywords in the process of your literature search.

Social media, Facebook, Instagram, Twitter, Snapchat, TikTok
Body image, self-perception, self-esteem, mental health
Generation Z, teenagers, adolescents, youth

Search for relevant sources

Use your keywords to begin searching for sources. Some useful databases to search for journals and articles include:

Your university’s library catalogue
Google Scholar
Project Muse (humanities and social sciences)
Medline (life sciences and biomedicine)
EconLit (economics)
Inspec (physics, engineering and computer science)

You can also use boolean operators to help narrow down your search.

Make sure to read the abstract to find out whether an article is relevant to your question. When you find a useful book or article, you can check the bibliography to find other relevant sources.

You likely won’t be able to read absolutely everything that has been written on your topic, so it will be necessary to evaluate which sources are most relevant to your research question.

For each publication, ask yourself:

What question or problem is the author addressing?
What are the key concepts and how are they defined?
What are the key theories, models, and methods?
Does the research use established frameworks or take an innovative approach?
What are the results and conclusions of the study?
How does the publication relate to other literature in the field? Does it confirm, add to, or challenge established knowledge?
What are the strengths and weaknesses of the research?

Make sure the sources you use are credible , and make sure you read any landmark studies and major theories in your field of research.

You can use our template to summarize and evaluate sources you’re thinking about using. Click on either button below to download.

Take notes and cite your sources

As you read, you should also begin the writing process. Take notes that you can later incorporate into the text of your literature review.

It is important to keep track of your sources with citations to avoid plagiarism . It can be helpful to make an annotated bibliography , where you compile full citation information and write a paragraph of summary and analysis for each source. This helps you remember what you read and saves time later in the process.

Prevent plagiarism. Run a free check.

To begin organizing your literature review’s argument and structure, be sure you understand the connections and relationships between the sources you’ve read. Based on your reading and notes, you can look for:

Trends and patterns (in theory, method or results): do certain approaches become more or less popular over time?
Themes: what questions or concepts recur across the literature?
Debates, conflicts and contradictions: where do sources disagree?
Pivotal publications: are there any influential theories or studies that changed the direction of the field?
Gaps: what is missing from the literature? Are there weaknesses that need to be addressed?

This step will help you work out the structure of your literature review and (if applicable) show how your own research will contribute to existing knowledge.

Most research has focused on young women.
There is an increasing interest in the visual aspects of social media.
But there is still a lack of robust research on highly visual platforms like Instagram and Snapchat—this is a gap that you could address in your own research.

There are various approaches to organizing the body of a literature review. Depending on the length of your literature review, you can combine several of these strategies (for example, your overall structure might be thematic, but each theme is discussed chronologically).

Chronological

The simplest approach is to trace the development of the topic over time. However, if you choose this strategy, be careful to avoid simply listing and summarizing sources in order.

Try to analyze patterns, turning points and key debates that have shaped the direction of the field. Give your interpretation of how and why certain developments occurred.

If you have found some recurring central themes, you can organize your literature review into subsections that address different aspects of the topic.

For example, if you are reviewing literature about inequalities in migrant health outcomes, key themes might include healthcare policy, language barriers, cultural attitudes, legal status, and economic access.

Methodological

If you draw your sources from different disciplines or fields that use a variety of research methods , you might want to compare the results and conclusions that emerge from different approaches. For example:

Look at what results have emerged in qualitative versus quantitative research
Discuss how the topic has been approached by empirical versus theoretical scholarship
Divide the literature into sociological, historical, and cultural sources

Theoretical

A literature review is often the foundation for a theoretical framework . You can use it to discuss various theories, models, and definitions of key concepts.

You might argue for the relevance of a specific theoretical approach, or combine various theoretical concepts to create a framework for your research.

Like any other academic text , your literature review should have an introduction , a main body, and a conclusion . What you include in each depends on the objective of your literature review.

The introduction should clearly establish the focus and purpose of the literature review.

Depending on the length of your literature review, you might want to divide the body into subsections. You can use a subheading for each theme, time period, or methodological approach.

As you write, you can follow these tips:

Summarize and synthesize: give an overview of the main points of each source and combine them into a coherent whole
Analyze and interpret: don’t just paraphrase other researchers — add your own interpretations where possible, discussing the significance of findings in relation to the literature as a whole
Critically evaluate: mention the strengths and weaknesses of your sources
Write in well-structured paragraphs: use transition words and topic sentences to draw connections, comparisons and contrasts

In the conclusion, you should summarize the key findings you have taken from the literature and emphasize their significance.

When you’ve finished writing and revising your literature review, don’t forget to proofread thoroughly before submitting. Not a language expert? Check out Scribbr’s professional proofreading services !

This article has been adapted into lecture slides that you can use to teach your students about writing a literature review.

Scribbr slides are free to use, customize, and distribute for educational purposes.

Open Google Slides Download PowerPoint

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Sampling methods
Simple random sampling
Stratified sampling
Cluster sampling
Likert scales
Reproducibility

Statistics

Null hypothesis
Statistical power
Probability distribution
Effect size
Poisson distribution

Research bias

Optimism bias
Cognitive bias
Implicit bias
Hawthorne effect
Anchoring bias
Explicit bias

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a thesis, dissertation , or research paper , in order to situate your work in relation to existing knowledge.

There are several reasons to conduct a literature review at the beginning of a research project:

To familiarize yourself with the current state of knowledge on your topic
To ensure that you’re not just repeating what others have already done
To identify gaps in knowledge and unresolved problems that your research can address
To develop your theoretical framework and methodology
To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

The literature review usually comes near the beginning of your thesis or dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

A literature review is a survey of credible sources on a topic, often used in dissertations , theses, and research papers . Literature reviews give an overview of knowledge on a subject, helping you identify relevant theories and methods, as well as gaps in existing research. Literature reviews are set up similarly to other academic texts , with an introduction , a main body, and a conclusion .

An annotated bibliography is a list of source references that has a short description (called an annotation ) for each of the sources. It is often assigned as part of the research process for a paper .

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.

McCombes, S. (2023, September 11). How to Write a Literature Review | Guide, Examples, & Templates. Scribbr. Retrieved August 26, 2024, from https://www.scribbr.com/dissertation/literature-review/

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Review articles: purpose, process, and structure

Published: 02 October 2017
Volume 46 , pages 1–5, ( 2018 )

Cite this article

Robert W. Palmatier 1 ,
Mark B. Houston 2 &
John Hulland 3

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Many research disciplines feature high-impact journals that are dedicated outlets for review papers (or review–conceptual combinations) (e.g., Academy of Management Review , Psychology Bulletin , Medicinal Research Reviews ). The rationale for such outlets is the premise that research integration and synthesis provides an important, and possibly even a required, step in the scientific process. Review papers tend to include both quantitative (i.e., meta-analytic, systematic reviews) and narrative or more qualitative components; together, they provide platforms for new conceptual frameworks, reveal inconsistencies in the extant body of research, synthesize diverse results, and generally give other scholars a “state-of-the-art” snapshot of a domain, often written by topic experts (Bem 1995 ). Many premier marketing journals publish meta-analytic review papers too, though authors often must overcome reviewers’ concerns that their contributions are limited due to the absence of “new data.” Furthermore, relatively few non-meta-analysis review papers appear in marketing journals, probably due to researchers’ perceptions that such papers have limited publication opportunities or their beliefs that the field lacks a research tradition or “respect” for such papers. In many cases, an editor must provide strong support to help such review papers navigate the review process. Yet, once published, such papers tend to be widely cited, suggesting that members of the field find them useful (see Bettencourt and Houston 2001 ).

In this editorial, we seek to address three topics relevant to review papers. First, we outline a case for their importance to the scientific process, by describing the purpose of review papers . Second, we detail the review paper editorial initiative conducted over the past two years by the Journal of the Academy of Marketing Science ( JAMS ), focused on increasing the prevalence of review papers. Third, we describe a process and structure for systematic ( i.e. , non-meta-analytic) review papers , referring to Grewal et al. ( 2018 ) insights into parallel meta-analytic (effects estimation) review papers. (For some strong recent examples of marketing-related meta-analyses, see Knoll and Matthes 2017 ; Verma et al. 2016 ).

Purpose of review papers

In their most general form, review papers “are critical evaluations of material that has already been published,” some that include quantitative effects estimation (i.e., meta-analyses) and some that do not (i.e., systematic reviews) (Bem 1995 , p. 172). They carefully identify and synthesize relevant literature to evaluate a specific research question, substantive domain, theoretical approach, or methodology and thereby provide readers with a state-of-the-art understanding of the research topic. Many of these benefits are highlighted in Hanssens’ ( 2018 ) paper titled “The Value of Empirical Generalizations in Marketing,” published in this same issue of JAMS.

The purpose of and contributions associated with review papers can vary depending on their specific type and research question, but in general, they aim to

Resolve definitional ambiguities and outline the scope of the topic.

Provide an integrated, synthesized overview of the current state of knowledge.

Identify inconsistencies in prior results and potential explanations (e.g., moderators, mediators, measures, approaches).

Evaluate existing methodological approaches and unique insights.

Develop conceptual frameworks to reconcile and extend past research.

Describe research insights, existing gaps, and future research directions.

Not every review paper can offer all of these benefits, but this list represents their key contributions. To provide a sufficient contribution, a review paper needs to achieve three key standards. First, the research domain needs to be well suited for a review paper, such that a sufficient body of past research exists to make the integration and synthesis valuable—especially if extant research reveals theoretical inconsistences or heterogeneity in its effects. Second, the review paper must be well executed, with an appropriate literature collection and analysis techniques, sufficient breadth and depth of literature coverage, and a compelling writing style. Third, the manuscript must offer significant new insights based on its systematic comparison of multiple studies, rather than simply a “book report” that describes past research. This third, most critical standard is often the most difficult, especially for authors who have not “lived” with the research domain for many years, because achieving it requires drawing some non-obvious connections and insights from multiple studies and their many different aspects (e.g., context, method, measures). Typically, after the “review” portion of the paper has been completed, the authors must spend many more months identifying the connections to uncover incremental insights, each of which takes time to detail and explicate.

The increasing methodological rigor and technical sophistication of many marketing studies also means that they often focus on smaller problems with fewer constructs. By synthesizing these piecemeal findings, reconciling conflicting evidence, and drawing a “big picture,” meta-analyses and systematic review papers become indispensable to our comprehensive understanding of a phenomenon, among both academic and practitioner communities. Thus, good review papers provide a solid platform for future research, in the reviewed domain but also in other areas, in that researchers can use a good review paper to learn about and extend key insights to new areas.

This domain extension, outside of the core area being reviewed, is one of the key benefits of review papers that often gets overlooked. Yet it also is becoming ever more important with the expanding breadth of marketing (e.g., econometric modeling, finance, strategic management, applied psychology, sociology) and the increasing velocity in the accumulation of marketing knowledge (e.g., digital marketing, social media, big data). Against this backdrop, systematic review papers and meta-analyses help academics and interested managers keep track of research findings that fall outside their main area of specialization.

JAMS’ review paper editorial initiative

With a strong belief in the importance of review papers, the editorial team of JAMS has purposely sought out leading scholars to provide substantive review papers, both meta-analysis and systematic, for publication in JAMS . Many of the scholars approached have voiced concerns about the risk of such endeavors, due to the lack of alternative outlets for these types of papers. Therefore, we have instituted a unique process, in which the authors develop a detailed outline of their paper, key tables and figures, and a description of their literature review process. On the basis of this outline, we grant assurances that the contribution hurdle will not be an issue for publication in JAMS , as long as the authors execute the proposed outline as written. Each paper still goes through the normal review process and must meet all publication quality standards, of course. In many cases, an Area Editor takes an active role to help ensure that each paper provides sufficient insights, as required for a high-quality review paper. This process gives the author team confidence to invest effort in the process. An analysis of the marketing journals in the Financial Times (FT 50) journal list for the past five years (2012–2016) shows that JAMS has become the most common outlet for these papers, publishing 31% of all review papers that appeared in the top six marketing journals.

As a next step in positioning JAMS as a receptive marketing outlet for review papers, we are conducting a Thought Leaders Conference on Generalizations in Marketing: Systematic Reviews and Meta-Analyses , with a corresponding special issue (see www.springer.com/jams ). We will continue our process of seeking out review papers as an editorial strategy in areas that could be advanced by the integration and synthesis of extant research. We expect that, ultimately, such efforts will become unnecessary, as authors initiate review papers on topics of their own choosing to submit them to JAMS . In the past two years, JAMS already has increased the number of papers it publishes annually, from just over 40 to around 60 papers per year; this growth has provided “space” for 8–10 review papers per year, reflecting our editorial target.

Consistent with JAMS ’ overall focus on managerially relevant and strategy-focused topics, all review papers should reflect this emphasis. For example, the domains, theories, and methods reviewed need to have some application to past or emerging managerial research. A good rule of thumb is that the substantive domain, theory, or method should attract the attention of readers of JAMS .

The efforts of multiple editors and Area Editors in turn have generated a body of review papers that can serve as useful examples of the different types and approaches that JAMS has published.

Domain-based review papers

Domain-based review papers review, synthetize, and extend a body of literature in the same substantive domain. For example, in “The Role of Privacy in Marketing” (Martin and Murphy 2017 ), the authors identify and define various privacy-related constructs that have appeared in recent literature. Then they examine the different theoretical perspectives brought to bear on privacy topics related to consumers and organizations, including ethical and legal perspectives. These foundations lead in to their systematic review of privacy-related articles over a clearly defined date range, from which they extract key insights from each study. This exercise of synthesizing diverse perspectives allows these authors to describe state-of-the-art knowledge regarding privacy in marketing and identify useful paths for research. Similarly, a new paper by Cleeren et al. ( 2017 ), “Marketing Research on Product-Harm Crises: A Review, Managerial Implications, and an Agenda for Future Research,” provides a rich systematic review, synthesizes extant research, and points the way forward for scholars who are interested in issues related to defective or dangerous market offerings.

Theory-based review papers

Theory-based review papers review, synthetize, and extend a body of literature that uses the same underlying theory. For example, Rindfleisch and Heide’s ( 1997 ) classic review of research in marketing using transaction cost economics has been cited more than 2200 times, with a significant impact on applications of the theory to the discipline in the past 20 years. A recent paper in JAMS with similar intent, which could serve as a helpful model, focuses on “Resource-Based Theory in Marketing” (Kozlenkova et al. 2014 ). The article dives deeply into a description of the theory and its underlying assumptions, then organizes a systematic review of relevant literature according to various perspectives through which the theory has been applied in marketing. The authors conclude by identifying topical domains in marketing that might benefit from additional applications of the theory (e.g., marketing exchange), as well as related theories that could be integrated meaningfully with insights from the resource-based theory.

Method-based review papers

Method-based review papers review, synthetize, and extend a body of literature that uses the same underlying method. For example, in “Event Study Methodology in the Marketing Literature: An Overview” (Sorescu et al. 2017 ), the authors identify published studies in marketing that use an event study methodology. After a brief review of the theoretical foundations of event studies, they describe in detail the key design considerations associated with this method. The article then provides a roadmap for conducting event studies and compares this approach with a stock market returns analysis. The authors finish with a summary of the strengths and weaknesses of the event study method, which in turn suggests three main areas for further research. Similarly, “Discriminant Validity Testing in Marketing: An Analysis, Causes for Concern, and Proposed Remedies” (Voorhies et al. 2016 ) systematically reviews existing approaches for assessing discriminant validity in marketing contexts, then uses Monte Carlo simulation to determine which tests are most effective.

Our long-term editorial strategy is to make sure JAMS becomes and remains a well-recognized outlet for both meta-analysis and systematic managerial review papers in marketing. Ideally, review papers would come to represent 10%–20% of the papers published by the journal.

Process and structure for review papers

In this section, we review the process and typical structure of a systematic review paper, which lacks any long or established tradition in marketing research. The article by Grewal et al. ( 2018 ) provides a summary of effects-focused review papers (i.e., meta-analyses), so we do not discuss them in detail here.

Systematic literature review process

Some review papers submitted to journals take a “narrative” approach. They discuss current knowledge about a research domain, yet they often are flawed, in that they lack criteria for article inclusion (or, more accurately, article exclusion), fail to discuss the methodology used to evaluate included articles, and avoid critical assessment of the field (Barczak 2017 ). Such reviews tend to be purely descriptive, with little lasting impact.

In contrast, a systematic literature review aims to “comprehensively locate and synthesize research that bears on a particular question, using organized, transparent, and replicable procedures at each step in the process” (Littell et al. 2008 , p. 1). Littell et al. describe six key steps in the systematic review process. The extent to which each step is emphasized varies by paper, but all are important components of the review.

Topic formulation . The author sets out clear objectives for the review and articulates the specific research questions or hypotheses that will be investigated.

Study design . The author specifies relevant problems, populations, constructs, and settings of interest. The aim is to define explicit criteria that can be used to assess whether any particular study should be included in or excluded from the review. Furthermore, it is important to develop a protocol in advance that describes the procedures and methods to be used to evaluate published work.

Sampling . The aim in this third step is to identify all potentially relevant studies, including both published and unpublished research. To this end, the author must first define the sampling unit to be used in the review (e.g., individual, strategic business unit) and then develop an appropriate sampling plan.

Data collection . By retrieving the potentially relevant studies identified in the third step, the author can determine whether each study meets the eligibility requirements set out in the second step. For studies deemed acceptable, the data are extracted from each study and entered into standardized templates. These templates should be based on the protocols established in step 2.

Data analysis . The degree and nature of the analyses used to describe and examine the collected data vary widely by review. Purely descriptive analysis is useful as a starting point but rarely is sufficient on its own. The examination of trends, clusters of ideas, and multivariate relationships among constructs helps flesh out a deeper understanding of the domain. For example, both Hult ( 2015 ) and Huber et al. ( 2014 ) use bibliometric approaches (e.g., examine citation data using multidimensional scaling and cluster analysis techniques) to identify emerging versus declining themes in the broad field of marketing.

Reporting . Three key aspects of this final step are common across systematic reviews. First, the results from the fifth step need to be presented, clearly and compellingly, using narratives, tables, and figures. Second, core results that emerge from the review must be interpreted and discussed by the author. These revelatory insights should reflect a deeper understanding of the topic being investigated, not simply a regurgitation of well-established knowledge. Third, the author needs to describe the implications of these unique insights for both future research and managerial practice.

A new paper by Watson et al. ( 2017 ), “Harnessing Difference: A Capability-Based Framework for Stakeholder Engagement in Environmental Innovation,” provides a good example of a systematic review, starting with a cohesive conceptual framework that helps establish the boundaries of the review while also identifying core constructs and their relationships. The article then explicitly describes the procedures used to search for potentially relevant papers and clearly sets out criteria for study inclusion or exclusion. Next, a detailed discussion of core elements in the framework weaves published research findings into the exposition. The paper ends with a presentation of key implications and suggestions for the next steps. Similarly, “Marketing Survey Research Best Practices: Evidence and Recommendations from a Review of JAMS Articles” (Hulland et al. 2017 ) systematically reviews published marketing studies that use survey techniques, describes recent trends, and suggests best practices. In their review, Hulland et al. examine the entire population of survey papers published in JAMS over a ten-year span, relying on an extensive standardized data template to facilitate their subsequent data analysis.

Structure of systematic review papers

There is no cookie-cutter recipe for the exact structure of a useful systematic review paper; the final structure depends on the authors’ insights and intended points of emphasis. However, several key components are likely integral to a paper’s ability to contribute.

Depth and rigor

Systematic review papers must avoid falling in to two potential “ditches.” The first ditch threatens when the paper fails to demonstrate that a systematic approach was used for selecting articles for inclusion and capturing their insights. If a reader gets the impression that the author has cherry-picked only articles that fit some preset notion or failed to be thorough enough, without including articles that make significant contributions to the field, the paper will be consigned to the proverbial side of the road when it comes to the discipline’s attention.

Authors that fall into the other ditch present a thorough, complete overview that offers only a mind-numbing recitation, without evident organization, synthesis, or critical evaluation. Although comprehensive, such a paper is more of an index than a useful review. The reviewed articles must be grouped in a meaningful way to guide the reader toward a better understanding of the focal phenomenon and provide a foundation for insights about future research directions. Some scholars organize research by scholarly perspectives (e.g., the psychology of privacy, the economics of privacy; Martin and Murphy 2017 ); others classify the chosen articles by objective research aspects (e.g., empirical setting, research design, conceptual frameworks; Cleeren et al. 2017 ). The method of organization chosen must allow the author to capture the complexity of the underlying phenomenon (e.g., including temporal or evolutionary aspects, if relevant).

Replicability

Processes for the identification and inclusion of research articles should be described in sufficient detail, such that an interested reader could replicate the procedure. The procedures used to analyze chosen articles and extract their empirical findings and/or key takeaways should be described with similar specificity and detail.

We already have noted the potential usefulness of well-done review papers. Some scholars always are new to the field or domain in question, so review papers also need to help them gain foundational knowledge. Key constructs, definitions, assumptions, and theories should be laid out clearly (for which purpose summary tables are extremely helpful). An integrated conceptual model can be useful to organize cited works. Most scholars integrate the knowledge they gain from reading the review paper into their plans for future research, so it is also critical that review papers clearly lay out implications (and specific directions) for research. Ideally, readers will come away from a review article filled with enthusiasm about ways they might contribute to the ongoing development of the field.

Helpful format

Because such a large body of research is being synthesized in most review papers, simply reading through the list of included studies can be exhausting for readers. We cannot overstate the importance of tables and figures in review papers, used in conjunction with meaningful headings and subheadings. Vast literature review tables often are essential, but they must be organized in a way that makes their insights digestible to the reader; in some cases, a sequence of more focused tables may be better than a single, comprehensive table.

In summary, articles that review extant research in a domain (topic, theory, or method) can be incredibly useful to the scientific progress of our field. Whether integrating the insights from extant research through a meta-analysis or synthesizing them through a systematic assessment, the promised benefits are similar. Both formats provide readers with a useful overview of knowledge about the focal phenomenon, as well as insights on key dilemmas and conflicting findings that suggest future research directions. Thus, the editorial team at JAMS encourages scholars to continue to invest the time and effort to construct thoughtful review papers.

Barczak, G. (2017). From the editor: writing a review article. Journal of Product Innovation Management, 34 (2), 120–121.

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Cleeren, K., Dekimpe, M. G., & van Heerde, H. J. (2017). Marketing research on product-harm crises: a review, managerial implications. Journal of the Academy of Marketing Science, 45 (5), 593–615.

Grewal, D., Puccinelli, N. M., & Monroe, K. B. (2018). Meta-analysis: error cancels and truth accrues. Journal of the Academy of Marketing Science, 46 (1).

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Huber, J., Kamakura, W., & Mela, C. F. (2014). A topical history of JMR . Journal of Marketing Research, 51 (1), 84–91.

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Hult, G. T. M. (2015). JAMS 2010—2015: literature themes and intellectual structure. Journal of the Academy of Marketing Science, 43 (6), 663–669.

Knoll, J., & Matthes, J. (2017). The effectiveness of celebrity endorsements: a meta-analysis. Journal of the Academy of Marketing Science, 45 (1), 55–75.

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Rindfleisch, A., & Heide, J. B. (1997). Transaction cost analysis: past, present, and future applications. Journal of Marketing, 61 (4), 30–54.

Sorescu, A., Warren, N. L., & Ertekin, L. (2017). Event study methodology in the marketing literature: an overview. Journal of the Academy of Marketing Science, 45 (2), 186–207.

Verma, V., Sharma, D., & Sheth, J. (2016). Does relationship marketing matter in online retailing? A meta-analytic approach. Journal of the Academy of Marketing Science, 44 (2), 206–217.

Voorhies, C. M., Brady, M. K., Calantone, R., & Ramirez, E. (2016). Discriminant validity testing in marketing: an analysis, causes for concern, and proposed remedies. Journal of the Academy of Marketing Science, 44 (1), 119–134.

Watson, R., Wilson, H. N., Smart, P., & Macdonald, E. K. (2017). Harnessing difference: a capability-based framework for stakeholder engagement in environmental innovation. Journal of Product Innovation Management. https://doi.org/10.1111/jpim.12394 .

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Foster School of Business, University of Washington, Box: 353226, Seattle, WA, 98195-3226, USA

Robert W. Palmatier

Neeley School of Business, Texas Christian University, Fort Worth, TX, USA

Mark B. Houston

Terry College of Business, University of Georgia, Athens, GA, USA

John Hulland

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Correspondence to Robert W. Palmatier .

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Palmatier, R.W., Houston, M.B. & Hulland, J. Review articles: purpose, process, and structure. J. of the Acad. Mark. Sci. 46 , 1–5 (2018). https://doi.org/10.1007/s11747-017-0563-4

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Published : 02 October 2017

Issue Date : January 2018

DOI : https://doi.org/10.1007/s11747-017-0563-4

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How to Review a Scientific Paper in 10 Easy Steps

Summary of how to perform an invited review of a paper for publication.

Blog written by Jaime Fernández Sobaberas , 3 rd year PhD student in Biochemistry at Heidelberg University, Germany.

Reviewing scientific papers is an essential part of academic research and the publication process. It allows experts to assess the quality, validity, and significance of research findings before they are disseminated to the broader scientific community. Writing a comprehensive and constructive review contributes to the overall improvement of scientific knowledge. In this blog, we will discuss the key steps and considerations involved in reviewing a scientific paper.

Graphic summary of how to do an invited review of a scientific paper

1. Understand the Purpose of the Review:

Before you begin the review process, it’s important to understand the purpose of the review. Ask yourself why you have been asked to review the paper and what specific aspects you should focus on. Keep in mind that the goal is to provide a fair, unbiased, and constructive critique that helps the authors improve their work.

2. Familiarize Yourself with the Paper:

Start by reading the paper thoroughly and gaining a clear understanding of its content. Take note of the research question, methodology, data analysis, results, and conclusions. Identify any areas where you have expertise or concerns.

3. Evaluate the Paper’s Structure and Clarity:

Assess the paper’s overall structure, organization, and clarity of writing. Consider whether the abstract provides a concise summary of the study and whether the introduction effectively establishes the research context. Evaluate the logical flow of ideas, the use of headings and subheadings, and the clarity of the language. Note any sections that could benefit from additional clarification or restructuring.

4. Evaluate the Research Methods:

Assess the appropriateness and rigor of the research methods employed. Evaluate the study design, sample size, data collection techniques, and statistical analyses. Check whether the methods are adequately described, allowing for replication by other researchers. Identify any potential flaws or limitations in the methodology that could affect the validity of the results. Ensure that unique identifiers have been for used all reagents; for example, catalog numbers of RRIDs for all antibodies used.

5. Evaluate the Results and Analysis:

Examine the results and analysis presented in the paper. Assess whether the data supports the research question and if the statistical analysis is appropriate. Look for any inconsistencies or gaps in the data or areas where data may have been deliberately misled. Consider the significance and implications of the results and whether they are supported by the evidence presented. Read all the supporting/supplemental resources (if available) to confirm they show enough evidence to support their main findings.

6. Assess the Discussion and Conclusions:

Evaluate the interpretation of the results in the discussion section. Consider whether the authors have provided a balanced and objective analysis of the findings. Assess the extent to which the conclusions align with the research question and the overall study objectives. Note any alternative interpretations or potential avenues for future research.

7. Consider Ethical Considerations:

While reviewing a scientific paper, it’s important to be mindful of ethical considerations. Evaluate whether the study adheres to ethical guidelines and standards, such as obtaining informed consent, maintaining participant confidentiality, and minimizing potential harm. Assess whether the study design and methods align with ethical principles, particularly when human or animal subjects are involved. If you identify any ethical concerns, highlight them in your review and suggest potential remedies or improvements.

8. Verify References and Citations:

Ensure that the references and citations provided in the paper are accurate, relevant, and up-to-date. Verify that all sources mentioned in the text are included in the reference list and vice versa. Check the quality and credibility of the references, assessing whether they are from reputable sources and contribute to the overall strength of the paper. If you notice any missing or inaccurate references, point them out in your review and suggest appropriate replacements if necessary.

9. Provide Constructive Feedback:

When writing your review, be constructive and respectful in your feedback. Clearly outline both the strengths and weaknesses of the paper, offering specific suggestions for improvement. Be specific and provide references to relevant literature to support your comments. Avoid making personal attacks or using derogatory language.

10. Summarize Your Review:

Conclude your review with a concise summary of your main points. Highlight the paper’s strengths, such as novel contributions or a well-executed methodology. Discuss the key weaknesses and areas that need improvement. Finally, provide an overall recommendation regarding the acceptance, revision, or rejection of the paper.

Reviewing a scientific paper is a critical process that contributes to the quality and integrity of scientific research. By following the steps outlined in this guide, you can provide valuable feedback to authors, help improve the quality of the research, and contribute to the advancement of scientific knowledge. Remember to approach the review process with objectivity, fairness, and a commitment to fostering scientific excellence.

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How to Write a Scientific Review Article

In the biosciences, review articles written by researchers are valuable tools for those looking for a synopsis of several research studies in one place without having to spend time finding the research and results themselves. A well-presented review paper provides the reader with unbiased information on studies within the discipline and presents why the results of some research studies are or are not valid. In addition, institutions that fund research tend to use review articles to help them decide whether further research is necessary; however, their value is only as good as the objectives achieved and how the results are communicated.

The objective of a review should be “to achieve an organization and synthesis of past work around the chosen theme in order to accelerate the accumulation and assimilation of recent knowledge into the existing body of knowledge.” Importantly, a review should present results clearly and accurately—good writing is essential and must follow a strict set of rules.

In 1996, Quality of Reporting of Meta-analyses (QUOROM), which focused on meta-analyses of randomized controlled studies, was created during a conference involving a group of scientists, clinicians, and statisticians. The QUOROM statement, checklist, and flow diagram were introduced to researchers to help them better organize their reviews and ensure that specific criteria were followed. QUOROM was later updated and renamed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) with the same values and criteria.

Types of Review Articles

A review article is not an original study. It examines previous studies and compiles their data and evidence.

Based on their structure and formulation, literature reviews are broadly classified as-

Narrative or Traditional Literature Reviews – This is the classic literature review that summarizes the collated literature relevant to the thesis body.
Scoping Reviews – Scoping reviews involves systematic searching of all the material on the topic and replicate your searches. This enables the researcher to fill in any gaps that appear in results.
Systematic Literature Reviews – It is a methodical approach to collate and synthesize all relevant data about a predefined research question.
Cochrane Reviews – These are internationally recognized systematic reviews for human health care and policy.

Although narrative reviews can be useful, they are not in depth and do not necessarily analyze data or study-group sizes for determining whether results are valid. Systematic reviews , on the other hand, are more detailed and involve a more comprehensive literature search—they are the “gold standard” of review articles. A meta-analysis is a quantitative systematic review. It combines data from several studies to reach a conclusion that is statistically stronger than any in the single studies, mainly because of having more study subjects and more diversity among subjects.

A good review usually concentrates on a theme, such as different theories, information on the progress of developing a new medical device, or how past developments influence new discoveries. A review might also ask that more resources be used to continue research in that specific field.

There are advantages and disadvantages to writing a review . In addition to having more available data, other advantages include confirmatory data analysis and that reviews are considered to be an evidence-based resource. Some of the disadvantages are they are more time consuming and not all studies will provide the requisite amount of data. In addition, statistical functions and interpretations are more complex and authors must ensure that the populations from each study and all studies combined are heterogeneous.

Literature Searches

Previous reviews on the chosen theme using Google Scholar can provide information on any new findings, and the following points should be considered when conducting searches:

The author and any possible conflicting interests
The purpose of the article
The author’s hypothesis and whether it is supported
How the literature will contribute to your topic
Whether opinions expressed by the author(s) are correct

Once the inclusion and exclusion criteria have been identified based on these points, authors are ready to prepare their paper. Sources such as Popular Science and WebMD.com should be avoided. These sources, among others, are not allowed to be used as sources for review articles. Authors must ensure that the sources are legitimate research studies and that they are similar in nature (e.g., all randomized controlled trials).

Manuscript Preparation

Maximum length can vary depending on the author guidelines from the journal to which you are submitting, so authors must always check those guidelines before they begin. As a general rule, most journals ask that a specific font and size be used (e.g., Times New Roman, 12 point), that 1.0-inch margins be used on all four sides, and 1.5 line spacing be used.

The article structure should contain very specific sections, which might vary slightly according to different science disciplines. In scientific writing, the IMRAD structure (introduction, methods, results, and discussion) is a standard format adopted by a majority of academic journals. Although specific author guidelines might vary, in most cases, the review paper should contain the following sections:

Main title (possibly, short title)
Zurich-Basel Plant Science Center suggests providing titles which are 8 to 12 words in length
The title must contain key elements of the subject matter .
Author names and affiliations should be included
Corresponding author details should be mentioned
Main points, or a synthesis , of the project should be outlined
Subheadings should be included if required (e.g., objective, methods, results, and conclusions)
The length of the abstract should be between 200 and 250 words
No citations included within the abstract
Acronyms and abbreviations should be included only if used more than once

Introduction

Background information on the topic should be discussed
Introduction must address the objective (research question)
Text should be written in present tense

Materials and Methods

Should be written in past tense
Should provide information necessary to repeat the review
Search strategies, inclusion and exclusion criteria, data sources and geographical information, characteristics of study subjects, and statistical analyses used should be included
Authors must include all the results
Their relevance to the objective should be mentioned
Results must include heterogeneity of the study groups or samples
Statistical significance should be mentioned
Background information and objective can be reiterated
Results and their relevance clearly and concisely discussed

Conclusions

This section should discuss the objective discussed in the introduction This section should discuss the implications of the findings, interpretations, and identify unresolved questions

Study Limitations

An assessment of whether the studies were adequate to reach a conclusion that can be applied to a much larger group, stating reasons
Suggestions for future studies should be provided

Acknowledgements

Authors may thank the people or institutions who have supported the work

References

Only those references cited in the text should be listed
50 to 100 references are allowed
Internet sources are usually not allowed

Very informative and helped in me understanding the do and donts of writing a review…. A big motivational and knowledgeable article for those qho want to get motivation to begin the process of ones thought into practical work and take the first stwp in this regard

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COMMUNICATION IN THE BIOLOGICAL SCIENCES Department of Biology

LITERATURE REVIEW PAPER

WHAT IS A REVIEW PAPER?

CHOOSING A TOPIC

RESEARCHING A TOPIC

HOW TO WRITE THE PAPER

The purpose of a review paper is to succinctly review recent progress in a particular topic. Overall, the paper summarizes the current state of knowledge of the topic. It creates an understanding of the topic for the reader by discussing the findings presented in recent research papers .

A review paper is not a "term paper" or book report . It is not merely a report on some references you found. Instead, a review paper synthesizes the results from several primary literature papers to produce a coherent argument about a topic or focused description of a field.

Examples of scientific reviews can be found in:

Current Opinion in Cell Biology

Current Opinion in Genetics & Development

Annual Review of Plant Physiology and Plant Molecular Biology

Annual Review of Physiology

Trends in Ecology & Evolution

You should read articles from one or more of these sources to get examples of how your paper should be organized.

Scientists commonly use reviews to communicate with each other and the general public. There are a wide variety of review styles from ones aimed at a general audience (e.g., Scientific American ) to those directed at biologists within a particular subdiscipline (e.g., Annual Review of Physiology ).

A key aspect of a review paper is that it provides the evidence for a particular point of view in a field. Thus, a large focus of your paper should be a description of the data that support or refute that point of view. In addition, you should inform the reader of the experimental techniques that were used to generate the data.

The emphasis of a review paper is interpreting the primary literature on the subject. You need to read several original research articles on the same topic and make your own conclusions about the meanings of those papers.

Click here for advice on choosing a topic.

Click here for advice on doing research on your topic.

HOW TO WRITE THE PAPER

Overview of the Paper: Your paper should consist of four general sections:

Review articles contain neither a materials and methods section nor an abstract.

Organizing the Paper: Use topic headings. Do not use a topic heading that reads, "Body of the paper." Instead the topic headings should refer to the actual concepts or ideas covered in that section.

Example

What Goes into Each Section:





	for how to handle citing sources.

Home

Page Content

Overview of the review report format, the first read-through, first read considerations, spotting potential major flaws, concluding the first reading, rejection after the first reading, before starting the second read-through, doing the second read-through, the second read-through: section by section guidance, how to structure your report, on presentation and style, criticisms & confidential comments to editors, the recommendation, when recommending rejection, additional resources, step by step guide to reviewing a manuscript.

When you receive an invitation to peer review, you should be sent a copy of the paper's abstract to help you decide whether you wish to do the review. Try to respond to invitations promptly - it will prevent delays. It is also important at this stage to declare any potential Conflict of Interest.

The structure of the review report varies between journals. Some follow an informal structure, while others have a more formal approach.

" Number your comments!!! " (Jonathon Halbesleben, former Editor of Journal of Occupational and Organizational Psychology)

Informal Structure

Many journals don't provide criteria for reviews beyond asking for your 'analysis of merits'. In this case, you may wish to familiarize yourself with examples of other reviews done for the journal, which the editor should be able to provide or, as you gain experience, rely on your own evolving style.

Formal Structure

Other journals require a more formal approach. Sometimes they will ask you to address specific questions in your review via a questionnaire. Or they might want you to rate the manuscript on various attributes using a scorecard. Often you can't see these until you log in to submit your review. So when you agree to the work, it's worth checking for any journal-specific guidelines and requirements. If there are formal guidelines, let them direct the structure of your review.

In Both Cases

Whether specifically required by the reporting format or not, you should expect to compile comments to authors and possibly confidential ones to editors only.

Following the invitation to review, when you'll have received the article abstract, you should already understand the aims, key data and conclusions of the manuscript. If you don't, make a note now that you need to feedback on how to improve those sections.

The first read-through is a skim-read. It will help you form an initial impression of the paper and get a sense of whether your eventual recommendation will be to accept or reject the paper.

Keep a pen and paper handy when skim-reading.

Try to bear in mind the following questions - they'll help you form your overall impression:

What is the main question addressed by the research? Is it relevant and interesting?
How original is the topic? What does it add to the subject area compared with other published material?
Is the paper well written? Is the text clear and easy to read?
Are the conclusions consistent with the evidence and arguments presented? Do they address the main question posed?
If the author is disagreeing significantly with the current academic consensus, do they have a substantial case? If not, what would be required to make their case credible?
If the paper includes tables or figures, what do they add to the paper? Do they aid understanding or are they superfluous?

While you should read the whole paper, making the right choice of what to read first can save time by flagging major problems early on.

Editors say, " Specific recommendations for remedying flaws are VERY welcome ."

Examples of possibly major flaws include:

Drawing a conclusion that is contradicted by the author's own statistical or qualitative evidence
The use of a discredited method
Ignoring a process that is known to have a strong influence on the area under study

If experimental design features prominently in the paper, first check that the methodology is sound - if not, this is likely to be a major flaw.

You might examine:

The sampling in analytical papers
The sufficient use of control experiments
The precision of process data
The regularity of sampling in time-dependent studies
The validity of questions, the use of a detailed methodology and the data analysis being done systematically (in qualitative research)
That qualitative research extends beyond the author's opinions, with sufficient descriptive elements and appropriate quotes from interviews or focus groups

Major Flaws in Information

If methodology is less of an issue, it's often a good idea to look at the data tables, figures or images first. Especially in science research, it's all about the information gathered. If there are critical flaws in this, it's very likely the manuscript will need to be rejected. Such issues include:

Insufficient data
Unclear data tables
Contradictory data that either are not self-consistent or disagree with the conclusions
Confirmatory data that adds little, if anything, to current understanding - unless strong arguments for such repetition are made

If you find a major problem, note your reasoning and clear supporting evidence (including citations).

After the initial read and using your notes, including those of any major flaws you found, draft the first two paragraphs of your review - the first summarizing the research question addressed and the second the contribution of the work. If the journal has a prescribed reporting format, this draft will still help you compose your thoughts.

The First Paragraph

This should state the main question addressed by the research and summarize the goals, approaches, and conclusions of the paper. It should:

Help the editor properly contextualize the research and add weight to your judgement
Show the author what key messages are conveyed to the reader, so they can be sure they are achieving what they set out to do
Focus on successful aspects of the paper so the author gets a sense of what they've done well

The Second Paragraph

This should provide a conceptual overview of the contribution of the research. So consider:

Is the paper's premise interesting and important?
Are the methods used appropriate?
Do the data support the conclusions?

After drafting these two paragraphs, you should be in a position to decide whether this manuscript is seriously flawed and should be rejected (see the next section). Or whether it is publishable in principle and merits a detailed, careful read through.

Even if you are coming to the opinion that an article has serious flaws, make sure you read the whole paper. This is very important because you may find some really positive aspects that can be communicated to the author. This could help them with future submissions.

A full read-through will also make sure that any initial concerns are indeed correct and fair. After all, you need the context of the whole paper before deciding to reject. If you still intend to recommend rejection, see the section "When recommending rejection."

Once the paper has passed your first read and you've decided the article is publishable in principle, one purpose of the second, detailed read-through is to help prepare the manuscript for publication. You may still decide to recommend rejection following a second reading.

" Offer clear suggestions for how the authors can address the concerns raised. In other words, if you're going to raise a problem, provide a solution ." (Jonathon Halbesleben, Editor of Journal of Occupational and Organizational Psychology)

Preparation

To save time and simplify the review:

Don't rely solely upon inserting comments on the manuscript document - make separate notes
Try to group similar concerns or praise together
If using a review program to note directly onto the manuscript, still try grouping the concerns and praise in separate notes - it helps later
Note line numbers of text upon which your notes are based - this helps you find items again and also aids those reading your review

Now that you have completed your preparations, you're ready to spend an hour or so reading carefully through the manuscript.

As you're reading through the manuscript for a second time, you'll need to keep in mind the argument's construction, the clarity of the language and content.

With regard to the argument’s construction, you should identify:

Any places where the meaning is unclear or ambiguous
Any factual errors
Any invalid arguments

You may also wish to consider:

Does the title properly reflect the subject of the paper?
Does the abstract provide an accessible summary of the paper?
Do the keywords accurately reflect the content?
Is the paper an appropriate length?
Are the key messages short, accurate and clear?

Not every submission is well written. Part of your role is to make sure that the text’s meaning is clear.

Editors say, " If a manuscript has many English language and editing issues, please do not try and fix it. If it is too bad, note that in your review and it should be up to the authors to have the manuscript edited ."

If the article is difficult to understand, you should have rejected it already. However, if the language is poor but you understand the core message, see if you can suggest improvements to fix the problem:

Are there certain aspects that could be communicated better, such as parts of the discussion?
Should the authors consider resubmitting to the same journal after language improvements?
Would you consider looking at the paper again once these issues are dealt with?

On Grammar and Punctuation

Your primary role is judging the research content. Don't spend time polishing grammar or spelling. Editors will make sure that the text is at a high standard before publication. However, if you spot grammatical errors that affect clarity of meaning, then it's important to highlight these. Expect to suggest such amendments - it's rare for a manuscript to pass review with no corrections.

A 2010 study of nursing journals found that 79% of recommendations by reviewers were influenced by grammar and writing style (Shattel, et al., 2010).

1. The Introduction

A well-written introduction:

Sets out the argument
Summarizes recent research related to the topic
Highlights gaps in current understanding or conflicts in current knowledge
Establishes the originality of the research aims by demonstrating the need for investigations in the topic area
Gives a clear idea of the target readership, why the research was carried out and the novelty and topicality of the manuscript

Originality and Topicality

Originality and topicality can only be established in the light of recent authoritative research. For example, it's impossible to argue that there is a conflict in current understanding by referencing articles that are 10 years old.

Authors may make the case that a topic hasn't been investigated in several years and that new research is required. This point is only valid if researchers can point to recent developments in data gathering techniques or to research in indirectly related fields that suggest the topic needs revisiting. Clearly, authors can only do this by referencing recent literature. Obviously, where older research is seminal or where aspects of the methodology rely upon it, then it is perfectly appropriate for authors to cite some older papers.

Editors say, "Is the report providing new information; is it novel or just confirmatory of well-known outcomes ?"

It's common for the introduction to end by stating the research aims. By this point you should already have a good impression of them - if the explicit aims come as a surprise, then the introduction needs improvement.

2. Materials and Methods

Academic research should be replicable, repeatable and robust - and follow best practice.

Replicable Research

This makes sufficient use of:

Control experiments
Repeated analyses
Repeated experiments

These are used to make sure observed trends are not due to chance and that the same experiment could be repeated by other researchers - and result in the same outcome. Statistical analyses will not be sound if methods are not replicable. Where research is not replicable, the paper should be recommended for rejection.

Repeatable Methods

These give enough detail so that other researchers are able to carry out the same research. For example, equipment used or sampling methods should all be described in detail so that others could follow the same steps. Where methods are not detailed enough, it's usual to ask for the methods section to be revised.

Robust Research

This has enough data points to make sure the data are reliable. If there are insufficient data, it might be appropriate to recommend revision. You should also consider whether there is any in-built bias not nullified by the control experiments.

Best Practice

During these checks you should keep in mind best practice:

Standard guidelines were followed (e.g. the CONSORT Statement for reporting randomized trials)
The health and safety of all participants in the study was not compromised
Ethical standards were maintained

If the research fails to reach relevant best practice standards, it's usual to recommend rejection. What's more, you don't then need to read any further.

3. Results and Discussion

This section should tell a coherent story - What happened? What was discovered or confirmed?

Certain patterns of good reporting need to be followed by the author:

They should start by describing in simple terms what the data show
They should make reference to statistical analyses, such as significance or goodness of fit
Once described, they should evaluate the trends observed and explain the significance of the results to wider understanding. This can only be done by referencing published research
The outcome should be a critical analysis of the data collected

Discussion should always, at some point, gather all the information together into a single whole. Authors should describe and discuss the overall story formed. If there are gaps or inconsistencies in the story, they should address these and suggest ways future research might confirm the findings or take the research forward.

4. Conclusions

This section is usually no more than a few paragraphs and may be presented as part of the results and discussion, or in a separate section. The conclusions should reflect upon the aims - whether they were achieved or not - and, just like the aims, should not be surprising. If the conclusions are not evidence-based, it's appropriate to ask for them to be re-written.

5. Information Gathered: Images, Graphs and Data Tables

If you find yourself looking at a piece of information from which you cannot discern a story, then you should ask for improvements in presentation. This could be an issue with titles, labels, statistical notation or image quality.

Where information is clear, you should check that:

The results seem plausible, in case there is an error in data gathering
The trends you can see support the paper's discussion and conclusions
There are sufficient data. For example, in studies carried out over time are there sufficient data points to support the trends described by the author?

You should also check whether images have been edited or manipulated to emphasize the story they tell. This may be appropriate but only if authors report on how the image has been edited (e.g. by highlighting certain parts of an image). Where you feel that an image has been edited or manipulated without explanation, you should highlight this in a confidential comment to the editor in your report.

6. List of References

You will need to check referencing for accuracy, adequacy and balance.

Where a cited article is central to the author's argument, you should check the accuracy and format of the reference - and bear in mind different subject areas may use citations differently. Otherwise, it's the editor’s role to exhaustively check the reference section for accuracy and format.

You should consider if the referencing is adequate:

Are important parts of the argument poorly supported?
Are there published studies that show similar or dissimilar trends that should be discussed?
If a manuscript only uses half the citations typical in its field, this may be an indicator that referencing should be improved - but don't be guided solely by quantity
References should be relevant, recent and readily retrievable

Check for a well-balanced list of references that is:

Helpful to the reader
Fair to competing authors
Not over-reliant on self-citation
Gives due recognition to the initial discoveries and related work that led to the work under assessment

You should be able to evaluate whether the article meets the criteria for balanced referencing without looking up every reference.

7. Plagiarism

By now you will have a deep understanding of the paper's content - and you may have some concerns about plagiarism.

Identified Concern

If you find - or already knew of - a very similar paper, this may be because the author overlooked it in their own literature search. Or it may be because it is very recent or published in a journal slightly outside their usual field.

You may feel you can advise the author how to emphasize the novel aspects of their own study, so as to better differentiate it from similar research. If so, you may ask the author to discuss their aims and results, or modify their conclusions, in light of the similar article. Of course, the research similarities may be so great that they render the work unoriginal and you have no choice but to recommend rejection.

"It's very helpful when a reviewer can point out recent similar publications on the same topic by other groups, or that the authors have already published some data elsewhere ." (Editor feedback)

Suspected Concern

If you suspect plagiarism, including self-plagiarism, but cannot recall or locate exactly what is being plagiarized, notify the editor of your suspicion and ask for guidance.

Most editors have access to software that can check for plagiarism.

Editors are not out to police every paper, but when plagiarism is discovered during peer review it can be properly addressed ahead of publication. If plagiarism is discovered only after publication, the consequences are worse for both authors and readers, because a retraction may be necessary.

For detailed guidelines see COPE's Ethical guidelines for reviewers and Wiley's Best Practice Guidelines on Publishing Ethics .

8. Search Engine Optimization (SEO)

After the detailed read-through, you will be in a position to advise whether the title, abstract and key words are optimized for search purposes. In order to be effective, good SEO terms will reflect the aims of the research.

A clear title and abstract will improve the paper's search engine rankings and will influence whether the user finds and then decides to navigate to the main article. The title should contain the relevant SEO terms early on. This has a major effect on the impact of a paper, since it helps it appear in search results. A poor abstract can then lose the reader's interest and undo the benefit of an effective title - whilst the paper's abstract may appear in search results, the potential reader may go no further.

So ask yourself, while the abstract may have seemed adequate during earlier checks, does it:

Do justice to the manuscript in this context?
Highlight important findings sufficiently?
Present the most interesting data?

Editors say, " Does the Abstract highlight the important findings of the study ?"

If there is a formal report format, remember to follow it. This will often comprise a range of questions followed by comment sections. Try to answer all the questions. They are there because the editor felt that they are important. If you're following an informal report format you could structure your report in three sections: summary, major issues, minor issues.

Give positive feedback first. Authors are more likely to read your review if you do so. But don't overdo it if you will be recommending rejection
Briefly summarize what the paper is about and what the findings are
Try to put the findings of the paper into the context of the existing literature and current knowledge
Indicate the significance of the work and if it is novel or mainly confirmatory
Indicate the work's strengths, its quality and completeness
State any major flaws or weaknesses and note any special considerations. For example, if previously held theories are being overlooked

Major Issues

Are there any major flaws? State what they are and what the severity of their impact is on the paper
Has similar work already been published without the authors acknowledging this?
Are the authors presenting findings that challenge current thinking? Is the evidence they present strong enough to prove their case? Have they cited all the relevant work that would contradict their thinking and addressed it appropriately?
If major revisions are required, try to indicate clearly what they are
Are there any major presentational problems? Are figures & tables, language and manuscript structure all clear enough for you to accurately assess the work?
Are there any ethical issues? If you are unsure it may be better to disclose these in the confidential comments section

Minor Issues

Are there places where meaning is ambiguous? How can this be corrected?
Are the correct references cited? If not, which should be cited instead/also? Are citations excessive, limited, or biased?
Are there any factual, numerical or unit errors? If so, what are they?
Are all tables and figures appropriate, sufficient, and correctly labelled? If not, say which are not

Your review should ultimately help the author improve their article. So be polite, honest and clear. You should also try to be objective and constructive, not subjective and destructive.

You should also:

Write clearly and so you can be understood by people whose first language is not English
Avoid complex or unusual words, especially ones that would even confuse native speakers
Number your points and refer to page and line numbers in the manuscript when making specific comments
If you have been asked to only comment on specific parts or aspects of the manuscript, you should indicate clearly which these are
Treat the author's work the way you would like your own to be treated

Most journals give reviewers the option to provide some confidential comments to editors. Often this is where editors will want reviewers to state their recommendation - see the next section - but otherwise this area is best reserved for communicating malpractice such as suspected plagiarism, fraud, unattributed work, unethical procedures, duplicate publication, bias or other conflicts of interest.

However, this doesn't give reviewers permission to 'backstab' the author. Authors can't see this feedback and are unable to give their side of the story unless the editor asks them to. So in the spirit of fairness, write comments to editors as though authors might read them too.

Reviewers should check the preferences of individual journals as to where they want review decisions to be stated. In particular, bear in mind that some journals will not want the recommendation included in any comments to authors, as this can cause editors difficulty later - see Section 11 for more advice about working with editors.

You will normally be asked to indicate your recommendation (e.g. accept, reject, revise and resubmit, etc.) from a fixed-choice list and then to enter your comments into a separate text box.

Recommending Acceptance

If you're recommending acceptance, give details outlining why, and if there are any areas that could be improved. Don't just give a short, cursory remark such as 'great, accept'. See Improving the Manuscript

Recommending Revision

Where improvements are needed, a recommendation for major or minor revision is typical. You may also choose to state whether you opt in or out of the post-revision review too. If recommending revision, state specific changes you feel need to be made. The author can then reply to each point in turn.

Some journals offer the option to recommend rejection with the possibility of resubmission – this is most relevant where substantial, major revision is necessary.

What can reviewers do to help? " Be clear in their comments to the author (or editor) which points are absolutely critical if the paper is given an opportunity for revisio n." (Jonathon Halbesleben, Editor of Journal of Occupational and Organizational Psychology)

Recommending Rejection

If recommending rejection or major revision, state this clearly in your review (and see the next section, 'When recommending rejection').

Where manuscripts have serious flaws you should not spend any time polishing the review you've drafted or give detailed advice on presentation.

Editors say, " If a reviewer suggests a rejection, but her/his comments are not detailed or helpful, it does not help the editor in making a decision ."

In your recommendations for the author, you should:

Give constructive feedback describing ways that they could improve the research
Keep the focus on the research and not the author. This is an extremely important part of your job as a reviewer
Avoid making critical confidential comments to the editor while being polite and encouraging to the author - the latter may not understand why their manuscript has been rejected. Also, they won't get feedback on how to improve their research and it could trigger an appeal

Remember to give constructive criticism even if recommending rejection. This helps developing researchers improve their work and explains to the editor why you felt the manuscript should not be published.

" When the comments seem really positive, but the recommendation is rejection…it puts the editor in a tough position of having to reject a paper when the comments make it sound like a great paper ." (Jonathon Halbesleben, Editor of Journal of Occupational and Organizational Psychology)

Visit our Wiley Author Learning and Training Channel for expert advice on peer review.

Watch the video, Ethical considerations of Peer Review

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How to write a review article?

In the medical sciences, the importance of review articles is rising. When clinicians want to update their knowledge and generate guidelines about a topic, they frequently use reviews as a starting point. The value of a review is associated with what has been done, what has been found and how these findings are presented. Before asking ‘how,’ the question of ‘why’ is more important when starting to write a review. The main and fundamental purpose of writing a review is to create a readable synthesis of the best resources available in the literature for an important research question or a current area of research. Although the idea of writing a review is attractive, it is important to spend time identifying the important questions. Good review methods are critical because they provide an unbiased point of view for the reader regarding the current literature. There is a consensus that a review should be written in a systematic fashion, a notion that is usually followed. In a systematic review with a focused question, the research methods must be clearly described. A ‘methodological filter’ is the best method for identifying the best working style for a research question, and this method reduces the workload when surveying the literature. An essential part of the review process is differentiating good research from bad and leaning on the results of the better studies. The ideal way to synthesize studies is to perform a meta-analysis. In conclusion, when writing a review, it is best to clearly focus on fixed ideas, to use a procedural and critical approach to the literature and to express your findings in an attractive way.

The importance of review articles in health sciences is increasing day by day. Clinicians frequently benefit from review articles to update their knowledge in their field of specialization, and use these articles as a starting point for formulating guidelines. [ 1 , 2 ] The institutions which provide financial support for further investigations resort to these reviews to reveal the need for these researches. [ 3 ] As is the case with all other researches, the value of a review article is related to what is achieved, what is found, and the way of communicating this information. A few studies have evaluated the quality of review articles. Murlow evaluated 50 review articles published in 1985, and 1986, and revealed that none of them had complied with clear-cut scientific criteria. [ 4 ] In 1996 an international group that analyzed articles, demonstrated the aspects of review articles, and meta-analyses that had not complied with scientific criteria, and elaborated QUOROM (QUality Of Reporting Of Meta-analyses) statement which focused on meta-analyses of randomized controlled studies. [ 5 ] Later on this guideline was updated, and named as PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). [ 6 ]

Review articles are divided into 2 categories as narrative, and systematic reviews. Narrative reviews are written in an easily readable format, and allow consideration of the subject matter within a large spectrum. However in a systematic review, a very detailed, and comprehensive literature surveying is performed on the selected topic. [ 7 , 8 ] Since it is a result of a more detailed literature surveying with relatively lesser involvement of author’s bias, systematic reviews are considered as gold standard articles. Systematic reviews can be diivded into qualitative, and quantitative reviews. In both of them detailed literature surveying is performed. However in quantitative reviews, study data are collected, and statistically evaluated (ie. meta-analysis). [ 8 ]

Before inquring for the method of preparation of a review article, it is more logical to investigate the motivation behind writing the review article in question. The fundamental rationale of writing a review article is to make a readable synthesis of the best literature sources on an important research inquiry or a topic. This simple definition of a review article contains the following key elements:

The question(s) to be dealt with
Methods used to find out, and select the best quality researches so as to respond to these questions.
To synthetize available, but quite different researches

For the specification of important questions to be answered, number of literature references to be consulted should be more or less determined. Discussions should be conducted with colleagues in the same area of interest, and time should be reserved for the solution of the problem(s). Though starting to write the review article promptly seems to be very alluring, the time you spend for the determination of important issues won’t be a waste of time. [ 9 ]

The PRISMA statement [ 6 ] elaborated to write a well-designed review articles contains a 27-item checklist ( Table 1 ). It will be reasonable to fulfill the requirements of these items during preparation of a review article or a meta-analysis. Thus preparation of a comprehensible article with a high-quality scientific content can be feasible.

PRISMA statement: A 27-item checklist

Title
	Title	1 Identify the article as a systematic review, meta-analysis, or both
Summary
	Structured summary	2 Write a structured summary including, as applicable, background; objectives; data sources; study eligibility criteria, participants, treatments, study appraisal and synthesis methods; results; limitations; conclusions and implications of key findings; and systematic review registration number
Introduction
	Rationale	3 Explain the rationale for the review in the context of what is already known
	Objectives	4 Provide an explicit statement of questions being addressed with reference to participants, interventions, comparisons, outcomes, and study design (PICOS)
Methods
	Protocol and registration	5 Indicate if a review protocol exists, if and where it can be accessed (such as a web address), and, if available, provide registration information including the registration number
	Eligibility criteria	6 Specify study characteristics (such as PICOS, length of follow-up) and report characteristics (such as years considered, language, publication status) used as criteria for eligibility, giving rationale
	Sources of Information	7 Describe all information sources in the survey (such as databases with dates of coverage, contact with study authors to identify additional studies) and date last searched
	Survey	8 Present the full electronic search strategy for at least one major database, including any limits used, such that it could be repeated
	Study selection	9 State the process for selecting studies (that is, for screening, for determining eligibility, for inclusion in the systematic review, and, if applicable, for inclusion in the meta-analysis)
	Data collection process	10 Describe the method of data extraction from reports (such as piloted forms, independently by two reviewers) and any processes for obtaining and confirming data from investigators
	Data items	11 List and define all variables for which data were sought (such as PICOS, funding sources) and any assumptions and simplifications made
	Risk of bias in individual studies	12 Describe methods used for assessing risk of bias in individual studies (including specification of whether this was done at the study or outcome level, or both), and how this information is to be used in any data synthesis
	Summary measures	13 State the principal summary measures (such as risk ratio, difference in means)
	Synthesis of outcomes	14 For each meta-analysis, explain methods of data use, and combination methods of study outcomes, and if done consistency measurements should be indicated (ie P test)
	Risk of bias across studies	15 Specify any assessment of risk of bias that may affect the cumulative evidence (such as publication bias, selective reporting within studies).
	Additional analyses	16 Describe methods of additional analyses (such as sensitivity or subgroup analyses, meta-regression), if done, indicating which were pre-specified.
Results
	Study selection	17 Give numbers of studies screened, assessed for eligibility, and included in the review, with reasons for exclusions at each stage, ideally with a flow diagram.
	Study characteristics	18 For each study, present characteristics for which data were extracted (such as study size, PICOS, follow-up period) and provide the citation.
	Risk of bias within studies	19 Present data on risk of bias of each study and, if available, any outcome-level assessment (see item 12)
	Results of individual studies	20 For all outcomes considered (benefits and harms), present, for each study, simple summary data for each intervention group and effect estimates and confidence intervals, ideally with a forest plot (a type of graph used in meta-analyses which demonstrates relat, ve success rates of treatment outcomes of multiple scientific studies analyzing the same topic)
	Syntheses of resxults	21 Present the results of each meta-analyses including confidence intervals and measures of consistency
	Risk of bias across studies	22 Present results of any assessment of risk of bias across studies (see item 15).
	Additional analyses	23 Give results of additional analyses, if done such as sensitivity or subgroup analyses, meta-regression (see item 16)
Discussion
	Summary of evidence	24 Summarize the main findings, including the strength of evidence for each main outcome; consider their relevance to key groups (such as healthcare providers, users, and policy makers)
	Limitations	25 Discuss limitations at study and outcome level (such as risk of bias), and at review level such as incomplete retrieval of identified research, reporting bias
	Conclusions	26 Provide a general interpretation of the results in the context of other evidence, and implications for future research
Funding
	Funding	27 Indicate sources of funding or other support (such as supply of data) for the systematic review, and the role of funders for the systematic review

Contents and format

Important differences exist between systematic, and non-systematic reviews which especially arise from methodologies used in the description of the literature sources. A non-systematic review means use of articles collected for years with the recommendations of your colleagues, while systematic review is based on struggles to search for, and find the best possible researches which will respond to the questions predetermined at the start of the review.

Though a consensus has been reached about the systematic design of the review articles, studies revealed that most of them had not been written in a systematic format. McAlister et al. analyzed review articles in 6 medical journals, and disclosed that in less than one fourth of the review articles, methods of description, evaluation or synthesis of evidence had been provided, one third of them had focused on a clinical topic, and only half of them had provided quantitative data about the extend of the potential benefits. [ 10 ]

Use of proper methodologies in review articles is important in that readers assume an objective attitude towards updated information. We can confront two problems while we are using data from researches in order to answer certain questions. Firstly, we can be prejudiced during selection of research articles or these articles might be biased. To minimize this risk, methodologies used in our reviews should allow us to define, and use researches with minimal degree of bias. The second problem is that, most of the researches have been performed with small sample sizes. In statistical methods in meta-analyses, available researches are combined to increase the statistical power of the study. The problematic aspect of a non-systematic review is that our tendency to give biased responses to the questions, in other words we apt to select the studies with known or favourite results, rather than the best quality investigations among them.

As is the case with many research articles, general format of a systematic review on a single subject includes sections of Introduction, Methods, Results, and Discussion ( Table 2 ).

Structure of a systematic review


Introduction	Presents the problem and certain issues dealt in the review article
Methods	Describes research, and evaluation process Specifies the number of studies evaluated orselected
Results	Describes the quality, and outcomes of the selected studies
Discussion	Summarizes results, limitations, and outcomes of the procedure and research

Preparation of the review article

Steps, and targets of constructing a good review article are listed in Table 3 . To write a good review article the items in Table 3 should be implemented step by step. [ 11 – 13 ]

Steps of a systematic review


Formulation of researchable questions	Select answerable questions
Disclosure of studies	Databases, and key words
Evaluation of its quality	Quality criteria during selection of studies
Synthesis	Methods interpretation, and synthesis of outcomes

The research question

It might be helpful to divide the research question into components. The most prevalently used format for questions related to the treatment is PICO (P - Patient, Problem or Population; I-Intervention; C-appropriate Comparisons, and O-Outcome measures) procedure. For example In female patients (P) with stress urinary incontinence, comparisons (C) between transobturator, and retropubic midurethral tension-free band surgery (I) as for patients’ satisfaction (O).

Finding Studies

In a systematic review on a focused question, methods of investigation used should be clearly specified.

Ideally, research methods, investigated databases, and key words should be described in the final report. Different databases are used dependent on the topic analyzed. In most of the clinical topics, Medline should be surveyed. However searching through Embase and CINAHL can be also appropriate.

While determining appropriate terms for surveying, PICO elements of the issue to be sought may guide the process. Since in general we are interested in more than one outcome, P, and I can be key elements. In this case we should think about synonyms of P, and I elements, and combine them with a conjunction AND.

One method which might alleviate the workload of surveying process is “methodological filter” which aims to find the best investigation method for each research question. A good example of this method can be found in PubMed interface of Medline. The Clinical Queries tool offers empirically developed filters for five different inquiries as guidelines for etiology, diagnosis, treatment, prognosis or clinical prediction.

Evaluation of the Quality of the Study

As an indispensable component of the review process is to discriminate good, and bad quality researches from each other, and the outcomes should be based on better qualified researches, as far as possible. To achieve this goal you should know the best possible evidence for each type of question The first component of the quality is its general planning/design of the study. General planning/design of a cohort study, a case series or normal study demonstrates variations.

A hierarchy of evidence for different research questions is presented in Table 4 . However this hierarchy is only a first step. After you find good quality research articles, you won’t need to read all the rest of other articles which saves you tons of time. [ 14 ]

Determination of levels of evidence based on the type of the research question


I	Systematic review of Level II studies	Systematic review of Level II studies	Systematic review of Level II studies	Systematic review of Level II studies
II	Randomized controlled study	Crross-sectional study in consecutive patients	Initial cohort study	Prospective cohort study
III	One of the following: Non-randomized experimental study (ie. controlled pre-, and post-test intervention study) Comparative studies with concurrent control groups (observational study) (ie. cohort study, case-control study)	One of the following: Cross-sectional study in non-consecutive case series; diagnostic case-control study	One of the following: Untreated control group patients in a randomized controlled study, integrated cohort study	One of the following: Retrospective cohort study, case-control study (Note: these are most prevalently used types of etiological studies; for other alternatives, and interventional studies see Level III
IV	Case series	Case series	Case series or cohort studies with patients at different stages of their disease states

Formulating a Synthesis

Rarely all researches arrive at the same conclusion. In this case a solution should be found. However it is risky to make a decision based on the votes of absolute majority. Indeed, a well-performed large scale study, and a weakly designed one are weighed on the same scale. Therefore, ideally a meta-analysis should be performed to solve apparent differences. Ideally, first of all, one should be focused on the largest, and higher quality study, then other studies should be compared with this basic study.

Conclusions

In conclusion, during writing process of a review article, the procedures to be achieved can be indicated as follows: 1) Get rid of fixed ideas, and obsessions from your head, and view the subject from a large perspective. 2) Research articles in the literature should be approached with a methodological, and critical attitude and 3) finally data should be explained in an attractive way.

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Newly Created 'AI Scientist' Is About to Start Churning Out Research

Scientific discovery is one of the most sophisticated human activities. First, scientists must understand the existing knowledge and identify a significant gap.

Next, they must formulate a research question and design and conduct an experiment in pursuit of an answer.

Then, they must analyse and interpret the results of the experiment, which may raise yet another research question.

Can a process this complex be automated? Last week, Sakana AI Labs announced the creation of an "AI scientist" – an artificial intelligence system they claim can make scientific discoveries in the area of machine learning in a fully automated way.

Using generative large language models (LLMs) like those behind ChatGPT and other AI chatbots, the system can brainstorm, select a promising idea, code new algorithms, plot results, and write a paper summarising the experiment and its findings, complete with references.

Sakana claims the AI tool can undertake the complete lifecycle of a scientific experiment at a cost of just US$15 per paper – less than the cost of a scientist's lunch.

These are some big claims. Do they stack up? And even if they do, would an army of AI scientists churning out research papers with inhuman speed really be good news for science?

How a computer can 'do science'

A lot of science is done in the open, and almost all scientific knowledge has been written down somewhere (or we wouldn't have a way to "know" it). Millions of scientific papers are freely available online in repositories such as arXiv and PubMed .

LLMs trained with this data capture the language of science and its patterns. It is therefore perhaps not at all surprising that a generative LLM can produce something that looks like a good scientific paper – it has ingested many examples that it can copy.

What is less clear is whether an AI system can produce an interesting scientific paper. Crucially, good science requires novelty.

But is it interesting?

Scientists don't want to be told about things that are already known. Rather, they want to learn new things, especially new things that are significantly different from what is already known. This requires judgement about the scope and value of a contribution.

The Sakana system tries to address interestingness in two ways. First, it "scores" new paper ideas for similarity to existing research (indexed in the Semantic Scholar repository). Anything too similar is discarded.

Second, Sakana's system introduces a " peer review " step – using another LLM to judge the quality and novelty of the generated paper. Here again, there are plenty of examples of peer review online on sites such as openreview.net that can guide how to critique a paper. LLMs have ingested these, too.

AI may be a poor judge of AI output

Feedback is mixed on Sakana AI's output. Some have described it as producing " endless scientific slop ".

Even the system's own review of its outputs judges the papers weak at best. This is likely to improve as the technology evolves, but the question of whether automated scientific papers are valuable remains.

The ability of LLMs to judge the quality of research is also an open question. My own work (soon to be published in Research Synthesis Methods ) shows LLMs are not great at judging the risk of bias in medical research studies, though this too may improve over time.

Sakana's system automates discoveries in computational research, which is much easier than in other types of science that require physical experiments. Sakana's experiments are done with code, which is also structured text that LLMs can be trained to generate.

AI tools to support scientists, not replace them

AI researchers have been developing systems to support science for decades. Given the huge volumes of published research, even finding publications relevant to a specific scientific question can be challenging.

Specialised search tools make use of AI to help scientists find and synthesise existing work. These include the above-mentioned Semantic Scholar, but also newer systems such as Elicit , Research Rabbit , scite and Consensus .

Text mining tools such as PubTator dig deeper into papers to identify key points of focus, such as specific genetic mutations and diseases, and their established relationships. This is especially useful for curating and organising scientific information.

Machine learning has also been used to support the synthesis and analysis of medical evidence, in tools such as Robot Reviewer . Summaries that compare and contrast claims in papers from Scholarcy help to perform literature reviews.

All these tools aim to help scientists do their jobs more effectively, not to replace them.

AI research may exacerbate existing problems

While Sakana AI states it doesn't see the role of human scientists diminishing, the company's vision of "a fully AI-driven scientific ecosystem" would have major implications for science.

One concern is that, if AI-generated papers flood the scientific literature, future AI systems may be trained on AI output and undergo model collapse . This means they may become increasingly ineffectual at innovating.

However, the implications for science go well beyond impacts on AI science systems themselves.

There are already bad actors in science, including "paper mills" churning out fake papers . This problem will only get worse when a scientific paper can be produced with US$15 and a vague initial prompt.

The need to check for errors in a mountain of automatically generated research could rapidly overwhelm the capacity of actual scientists. The peer review system is arguably already broken , and dumping more research of questionable quality into the system won't fix it.

Science is fundamentally based on trust. Scientists emphasise the integrity of the scientific process so we can be confident our understanding of the world (and now, the world's machines) is valid and improving.

Karin Verspoor , Dean, School of Computing Technologies, RMIT University, RMIT University

This article is republished from The Conversation under a Creative Commons license. Read the original article .

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How to review a paper. A good peer review requires disciplinary expertise, a keen and critical eye, and a diplomatic and constructive approach. Credit: dmark/iStockphoto. As junior scientists develop their expertise and make names for themselves, they are increasingly likely to receive invitations to review research manuscripts.
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Research assistant professor, Korea Advanced Institute of Science and Technology, Daejeon. I started writing the review 'Biosynthesis of inorganic nanomaterials using microbial cells and ...
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The trend in science is for authors to receive more citations from their review articles than from their original research articles. According to Miranda and Garcia-Carpintero [ 14 ], review articles are, on average, three times more frequently cited than original research articles; they also asserted that a 20% increase in review authorship ...
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A good review article provides readers with an in-depth understanding of a field and highlights key gaps and challenges to address with future research. Writing a review article also helps to expand the writer's knowledge of their specialist area and to develop their analytical and communication skills, amongst other benefits. Thus, the ...
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The ideal topic should be focused enough to be manageable but with a large enough body of available research to justify the need for a review article. One article on the topic of scientific reviews suggests that at least 15 to 20 relevant research papers published within the ... The art and science of writing a scientific review article ...
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The peer review system is arguably already broken, and dumping more research of questionable quality into the system won't fix it. Science is fundamentally based on trust. Scientists emphasise the integrity of the scientific process so we can be confident our understanding of the world (and now, the world's machines) is valid and improving.