How to Read a Scientific Paper as a Reviewer

The ability to read a scientific manuscript both critically and efficiently is not just an important skill to have as a reviewer, but can also help you understand how reviewers assess your own work. Although different types of studies may require tailored approaches, the following general guide on how to read research articles as a reviewer can be applied for most article types. Whether you are early in your research career or a seasoned reviewer, practising this approach can help you to make fair and constructive assessments of research articles,  supporting authors by helping to ensure that their work is clearly described and robustly reported.

  1. Start with the abstract

The abstract should provide you with a clear overview of the aims of the study, methodology, key results and conclusions. The abstract should enable you to quickly gain a sense of the overall context of the research, the techniques used, and the key data, before reading the full article.

As a reviewer, you should ensure that the authors have provided an honest summary of their key findings in the abstract without overselling the conclusions or overstating the generalizability of the data.

  1. Initial ‘high-level’ readthrough of the manuscript

As a reviewer, you will most likely need to read through the manuscript multiple times before submitting your report. Before reading the manuscript in detail however, it can be helpful to have an initial ‘skim read’ of the entire manuscript. At this stage, don’t worry about spending time trying to understand every detail as if there are any sections that you find hard to understand you can return to these later. This first-pass readthrough will help you to orientate your reading and prepare you to assess the main strengths and weaknesses of the study.

If at this stage you believe that the manuscript topic or methodology is out of your area of expertise, you can contact the Editor or Editorial Office to explain and they will be able to guide you. Very often Editors invite reviewers to review a specific aspect of a manuscript and they may explain to you which aspects of the study they were hoping for your expertise on.

As you read, keep notes of any limitations or errors that you notice, as often some of the most important issues to highlight to authors will become apparent during this first read. Make a note of any obvious issues you notice with the data and study design, such as insufficient power, missing controls, or statistical errors. Identify any aspects of the study that could be strengthened through additional data collection or analysis.

You should also check the figures, which should clearly display the results of the study without requiring a deeper read of the text to understand them.  Remember that any conclusions drawn by the authors must be supported by the data presented.

  1. Detailed readthroughs and assessment

After your initial readthrough, you should have already gained a general impression of the work and may have highlighted some important issues that the authors will need to address. A more detailed readthrough can now be carried out to focus on specific issues that will require revision. If any sections were unclear in your first readthrough, this is the time to look at these areas in more detail.

The following guidance provides specific advice on how to assess each section of the manuscript, and are applicable for most research papers:

Introduction:

The introduction of the manuscript should provide context for the study grounded in previously published work, and demonstrate a clear rationale for the research. The authors should use the introduction to present the main aims and hypothesis of the study.

As a reviewer, you should check to ensure that the introduction includes sufficient and appropriate citations of primary research in the field, without demonstrating bias towards a particular school of thought, journal or geography. Make a note of any key studies related to the work that have been omitted. Authors should avoid citing too many review articles in lieu of the primary research article, and the literature cited should be up-to-date. It is acceptable to ask authors to include important relevant citations if there are key studies that have been missed, but this request must be clearly justified to the authors in the review report and you should not ask authors to include your own citations (for more information see the COPE Ethical Guidelines for Peer Reviewers).

Methods:

The methodology used in the study should be clearly described, reproducible and transparent. Ensure that the authors have used the most appropriate techniques to address their hypothesis and have included suitable controls. Make a note of any methodological weaknesses and limitations that the authors will need to address. It is worth asking yourself whether alternative or additional techniques and analysis could more accurately address the study aims. You should also ensure that the statistical analyses are appropriate, that any tests chosen are correct for the research question and data collected, that multiple comparisions have been controlled for, and that any potentially confounding variables have been captured and accounted for.

Ensure that the study design adheres to international standards in ethical practice, that relevant ethical approvals and participant consent have been obtained, and that the authors have followed the appropriate reporting guidelines for the study type. A full list of reporting guidelines for most study types can be found on the EQUATOR network website, and it can be helpful to check the manuscript against the relevant checklists to make sure that the authors have adhered to best practises.

In addition to helping authors identify potential errors in their study, one of the most important roles of the review is to help Editors identify manuscripts that are unsuitable for publication because of methodological flaws or ethical concerns. On rare occasions you may identify concerns about how the study was designed, conducted or analysed. If you have ethical concerns about a manuscript you are reviewing, check the journal policy about who you should report this concern to. Typically, this information can be found in the Reviewer Guidelines, but if this information is not readily available, you can contact the Editor or the Editorial Office directly and they will be able to support you.

Results and figures:

The results section should provide a descriptive account of the data shown in the supporting figures, and the figures should be clear, accurate, and easily understandable. The figures should include relevant datapoints, suitable error bars and statistical information. Check whether there are any outliers in the data, and whether these have been discussed. Remember to check the supplementary figures as well as the main figures. As a reviewer, you should ensure that the data have been accurately interpreted and support the conclusions drawn in the manuscript.

Read through the figure legends to ensure that these contain sufficient information, including detail of statistical tests if appropriate, sample size or number of repeated experiments. If the authors have provided access to raw data or source code, e.g. via a data repository or in supplementary files, ensure that these are complete.

Discussion and conclusion:

Whereas the results section should describe the data that has been collected, the discussion and conclusion sections enable authors to discuss potential interpretations of their data and highlight new findings in the context of previous research. As a reviewer, it is important to assess whether the author’s interpretations can be supported by the data presented in the manuscript, or whether the conclusions may be overstated or overgeneralized.

The discussion section should also be used to highlight limitations of the study, and propose future directions for research. Ensure that the authors have sufficiently discussed alternative interpretations of the data, and that they have clearly acknowledged the limitations of their study. Transparent communication about sources of uncertainty in the data and conclusions can ultimately build trust in the authors’ work and, as a reviewer, you help them by providing an external perspective on the clarity of their communication.

Reference list:

You should check the reference list to ensure that the authors have cited appropriate research. Check to ensure that the authors have included recent papers, and that primary research articles, not just review articles, have been included. The journal will ensure that the reference formatting adheres to their guidelines, but if you notice any major errors or issues with bias or relevance of the citations you should highlight this in your review.

  1. General tips
  • As you read through the manuscript, it is a good idea to keep detailed notes that you can refer back to when writing your reviewer report.
  • Remember that as a reviewer, your role is to assess the scientific quality of the manuscript rather than act as a proof reader. If the writing quality of the manuscript prevents understanding, you can highlight the need for improvements in your report but you do not need to provide a line-by-line list of typographical or grammatical errors.
  • If you do not feel confident or qualified to assess certain aspects of the manuscript, make sure that you inform the Editor as they may need to invite an additional specialist reviewer, such as a statistician.
  • When writing your final report, remember to maintain a professional and respectful tone and avoid being too personal in your comments (e.g. use “the authors…” rather than “your…”).
  • You must not upload any of the peer review information or materials to an AI tool as this would be a violation of the confidentiality of peer review and of the authors’ copyright. You can check the journal’s reviewer guidelines for more information on appropriate use of AI in peer review.
  • If you have any ethical concerns regarding a submission, make sure that you highlight these to the Editor or Editorial Office.

Summary

As with most skills, the more you practise reading and critiquing scientific manuscripts, the easier the process becomes and the more confident you will be at identifying issues. You can also practise these skills when reading published manuscripts, by participating in journal clubs, or by commenting on pre-prints. If you are early in your career and would like to gain more experience as a reviewer, we also have opportunities for you to review manuscripts in partnership with a more senior colleague or supervisor as a co-reviewer.

If you would like further information on how to become a reviewer for Karger journals and access to our online courses for reviewers, please visit our reviewer information pages here.

 

(Featured image declaration: photo by cottonbro studio from Pexels: https://www.pexels.com/photo/light-man-coffee-cup-6830875/)

Being Positive About Negative Data

Although studies presenting inconclusive or null results may be perceived as unsuccessful, the publication of null data, where results may not support the original hypothesis, is essential to ensure transparency and reproducibility in scientific research. Failure to publish null data can lead to wasted resources and an overreporting of positive results.

In this article we discuss the importance of null data, some of the challenges faced by authors when publishing null results, and how some publishers including Karger are working to ensure that scientific rigour and methodology are prioritised over perceived impact.

Why are null data important?

Scientific research relies on a foundation of high-quality data, and all valid data can be meaningful, whether these data support the hypothesis being tested or not. The sharing of null results can help to avoid pursuing unproductive research avenues and can generate new ideas and directions for future study.

The importance of publishing null data is reflected in the Word Medical Association Declaration of Helsinki (1), which states that; “negative and inconclusive as well as positive results must be published or otherwise made publicly available.” However, there is still hesitation among some authors and editors to publish null studies.

One of the main concerns is that studies that report null data usually attract fewer citations (2). This can be problematic where funding, career progression, and journal impact are determined by citation-based metrics (3). Authors may also find that null data can be harder to publish, particularly where journal editors and reviewers may be more focussed on ‘higher impact’ research (4). A combination of these factors has contributed to a significant publishing bias and overreporting of positive results in the literature (4,5).

Positive reporting bias can have serious repercussions, and failure to publish null data is one of the main contributing factors to the reproducibility crisis facing scientific research (4). For example, as discussed by Bespalov et al. (4), a number of independent studies failed to replicate promising preclinical data showing that the drug bexarotene helped to clear β-amyloid from the brain in a mouse model of Alzheimer’s disease (6). These null data were only published after the initiation of a clinical trial of the drug, the primary results of which eventually also turned out to be negative (7). This example illustrates how the publication of null data could help to prevent inefficiencies in clinical drug development. Indeed, lack of reproducibility is thought to be one of the major contributing factors for reduced success rates in clinical trials, contributing to the high costs associated with drug development (8).

A shift away from citation-based metrics

Although change is slow, and citations still provide an important measure of impact, the primary focus on citation-based metrics is starting to shift. A good example of this shift is the UK-based Research Excellence Framework 2029 (9), which will use broader models for assessing academic research contributions based on factors that include wider engagement and societal impact. Some journals, such as Karger’s Biomedicine Hub, are also committed to ensuring editorial decisions are based on sound methodology and scientific quality rather than expected impact.

In addition to the Declaration of Helsinki mentioned above, the importance of publishing null data has been well represented across industry standard publishing and research guidelines, including the Committee on Publication Ethics (COPE) Best Practice Guidelines for Journal Editors (10,11) as well as the latest CONSORT 2025 guidelines for reporting clinical trials (12,13).

Trial registration, study protocols, and registered reports

In 2015, the World Health Organisation published a statement on the public disclosure of clinical trial results, which identified concerns regarding the selective reporting of trial outcomes based on the ‘positivity’ of the results (14). The latest companion article for the CONSORT 2025 guidelines highlights that trial registration presents one of the best ways of ensuring transparency when reporting clinical trial data (12,13). The article also highlights the importance of publishing study protocols for preventing undeclared changes in trial design and outcomes (12).

The relatively new ‘Registered Report’ format for publishing study protocols further helps to eliminate positive publication bias and is being adopted by many publishers including Karger (15). Registered Reports provide authors with the opportunity to have their study protocol reviewed and published, whilst receiving a conditional guarantee that the corresponding results will be published in the same journal regardless of the outcome, provided the study adheres to the original registered methodology. This design offers an improvement on trial registration alone by reducing the likelihood of authors deciding not to publish null data, and by reducing the risk of reviewer bias. A study by Scheel et al. investigating Registered Reports published in the field of psychiatry found that this new format helps to reduce selective reporting and publication bias (16).

Conclusion

The importance of publishing null results for ensuring transparency and preventing publication bias has long been recognised. Despite this recognition, pressures on both authors and publishers continue to contribute to issues of positive bias and selectivity in published data. Although these pressures are unlikely to disappear soon, many publishers including Karger, are supporting authors by providing new avenues for publication. These initiatives help to ensure that valid data from studies that are of sound scientific quality are published, regardless of whether these data are conclusive.

References:

  1. https://www.wma.net/policies-post/wma-declaration-of-helsinki/ (Accessed 29/05/25)
  2. Tian D, Hu X, Qian Y, Li J. Exploring the scientific impact of negative results. Journal of Informetrics. 2024 Feb; 18(1)101481 (https://doi.org/10.1016/j.joi.2023.101481)
  3. Fanelli D. Do pressures to publish increase scientists’ bias? An empirical support from US States data. PLOS One. 2010 Apr; 5:e10271. (https://doi.org/10.1371/journal.pone.0010271)
  4. Bespalov A, Steckler T, Skolnick P. Be positive about negatives–recommendations for the publication of negative (or null) results. European Neuropsychopharmacology. 2019 Dec; 29(12):1312-1320 (https://doi.org/10.1016/j.euroneuro.2019.10.007)
  5. Tsilidis KK, Panagiotou OA, Sena ES, Aretouli E et al. Evaluation of Excess Significance Bias in Animal Studies of Neurological Diseases. PLOS Biology. 2013 Jul. (https://doi.org/10.1371/journal.pbio.1001609)
  6. Cramer PE, Cirrito JR, Wesson DW, Lee CY et al. ApoE-Directed Therapeutics Rapidly Clear β-Amyloid and Reverse Deficits in AD Mouse Models. Science 2012 Feb; 355 (6075) 1503-1506. (DOI: 10.1126/science.1217697)
  7. Cummings JL, Zhong K, Kinney JW, Heaney C et al. Double-blind, placebo-controlled, proof-of-concept trial of bexarotene in moderate Alzheimer’s disease. Alzheimer’s Research & Therapy 2016 Jan; 8 (4) (https://doi.org/10.1186/s13195-016-0173-2)
  8. Prinz F, Schlange T, Asadullah K. Believe it or not: how much can we rely on published data on potential drug targets? Nat Rev Drug Discov 2011 Aug; 10, 712 (https://doi.org/10.1038/nrd3439-c1)
  9. Research Excellence Framework 2029: https://2029.ref.ac.uk/ (Accessed 29/05/25)
  10. Teixeira da Silva A. Negative results: negative perceptions limit their potential for increasing reproducibility. Journal of Negative Results in BioMedicine. 2015; 14:12 (https://doi.org/10.1186/s12952-015-0033-9)
  11. https://publicationethics.org/about/what-we-do/our-story/core-practices (Accessed 22/05/25)
  12. Hopewell S, Chan A, Collins GS, Hróbjartsson A et al. CONSORT 2025 explanation and elaboration: updated guideline for reporting randomised trials. BMJ. 2025 Apr; 389:e081124 (https://doi.org/10.1136/bmj-2024-081124)
  13. Hopewell S, Chan A, Collins GS, Hróbjartsson A et al. CONSORT 2025 statement: updated guideline for reporting randomised trials. BMJ. 2025 Apr; 389:e081123 (https://doi.org/10.1136/bmj-2024-081123)
  14. https://www.who.int/news/item/09-04-2015-japan-primary-registries-network (Accessed 24/06/25)
  15. https://www.cos.io/initiatives/registered-reports (Accessed 29/05/25)
  16. Scheel AM, Schijen MRMJ, Lakens D. An Excess of Positive Results: Comparing the Standard Psychology Literature With Registered Reports. Association for Psychological Science. 2021 Apr; 4:2 (https://doi.org/10.1177/25152459211007467)

 

(Featured image declaration: by ThisIsEngineering from Pexels)

Sam Bose

Sam obtained his PhD in Physiology and Pharmacology at the University of Bristol before spending four years at the University of Oxford where his research focussed on cardiovascular pharmacology. As an Editor at Karger, Sam oversees the peer review process for a portfolio of biomedical journals, ensuring the scientific rigour, relevance, and integrity of published research.

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