<?xml version="1.0" encoding="UTF-8"?>
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="https://jats.nlm.nih.gov/publishing/1.1/" xml:lang="en" dtd-version="1.1" specific-use="eps-0.1">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">pes</journal-id><journal-id journal-id-type="ojs">pes</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Physical Education and Sports: Studies and Research</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2829-5846</issn>
      <publisher>
        <publisher-name>CV Rezki Media</publisher-name>
      </publisher>
      <self-uri xlink:href="https://journal.rezkimedia.or.id/index.php/pes"/>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.56003/pessr.v5i2.741</article-id><article-id pub-id-type="publisher-id">741</article-id>
      <article-categories><subj-group subj-group-type="heading" xml:lang="en"><subject>Opinion</subject></subj-group></article-categories>
      <title-group><article-title xml:lang="en">A domain-specific peer-review checklist for sport science journals: Translating a conceptual framework into practice</article-title></title-group>
      <contrib-group content-type="author">
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid" authenticated="false">https://orcid.org/0000-0002-9511-6940</contrib-id>
          <name-alternatives>
            <name name-style="western" specific-use="primary">
              <surname>Plakias</surname>
              <given-names>Spyridon</given-names>
            </name>
          </name-alternatives>
          <xref ref-type="aff" rid="aff-1"/>
          <email>spyros_plakias@yahoo.gr</email>
          <bio xml:lang="en"/>
        </contrib>
      </contrib-group>
      <aff id="aff-1">
        <institution content-type="orgname">University of Thessaly </institution>
      </aff>
      <pub-date date-type="collection"><year>2026</year></pub-date><pub-date date-type="pub" publication-format="epub" pub-type="epub"><day>01</day><month>08</month><year>2026</year></pub-date>
      <volume seq="2">5</volume><issue>2</issue><issue-id>38</issue-id><issue-title xml:lang="en">Physical Education and Sports: Studies and Research</issue-title><fpage>172</fpage>
      <lpage>181</lpage>
      <permissions>
        <copyright-statement>Copyright (c) 2026 Spyridon Plakias</copyright-statement>
        <copyright-year>2026</copyright-year>
        <copyright-holder>Spyridon Plakias</copyright-holder>
        <license xlink:href="https://creativecommons.org/licenses/by-sa/4.0">
          <license-p>
            <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-sa/4.0">This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.</ext-link>
          </license-p>
        </license>
      </permissions>
      
      <self-uri xlink:href="https://journal.rezkimedia.or.id/index.php/pes/article/view/741/267" content-type="application/pdf"/><self-uri xlink:href="https://journal.rezkimedia.or.id/index.php/pes/article/view/741"/>
      
      <abstract><p>The peer-review process plays a central role in ensuring the quality and credibility of scientific research; however, it remains characterized by variability, limited standardization, and a lack of domain-specific evaluation criteria. These limitations are particularly evident in sport science, a multidisciplinary field involving complex, context-dependent, and applied performance data. Although several guidelines for peer-review exist, they are often either generic or tailored to specific domains, limiting their applicability to sport science research. The aim of the present study was to develop a comprehensive, domain-specific reviewer checklist for sport science journals. Building on a previously proposed conceptual framework of publishable research, the checklist operationalizes key dimensions of manuscript evaluation into structured criteria, spanning editorial screening, conceptual foundation, methodological and analytical rigor, research transparency, scientific communication, and scientific and practical impact. In addition, the framework integrates both hierarchical and iterative elements of the peer-review process, conceptualizing manuscript evaluation as a cyclical process that begins and concludes with editorial decision-making. The proposed checklist provides a structured and contextually relevant tool to support reviewers in conducting more consistent and transparent evaluations, while assisting editors in decision-making and offering authors clearer expectations. Although not yet empirically validated, the proposed framework represents a step toward improving the quality, consistency, and contextual relevance of peer-review in sport science.</p></abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd>editor</kwd><kwd>manuscript evaluation</kwd><kwd>publication</kwd><kwd>research quality</kwd><kwd>reviewer</kwd><kwd>sports</kwd></kwd-group><counts>
        <page-count count="10"/>
      </counts>
      <custom-meta-group><custom-meta><meta-name>issue-cover</meta-name><meta-value><inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://journal.rezkimedia.or.id/public/journals/2/cover_issue_38_en_US.png"/></meta-value></custom-meta></custom-meta-group><custom-meta-group>
        <custom-meta>
          <meta-name>production-ready-file-url</meta-name>
          <meta-value>
            <ext-link ext-link-type="uri" xlink:href="https://journal.rezkimedia.or.id/index.php/pes/jatsTemplate/download?submissionFileId=5101&amp;fileId=3397&amp;submissionId=741&amp;stageId=5"/>
          </meta-value>
        </custom-meta>
      </custom-meta-group>
    </article-meta>
  </front>
  <body>
    <!-- PESSR Stage 13B | chart-map-count=0 -->
    <sec id="sec-2">
      <title>Introduction</title>
      <p>The evaluation of scientific manuscripts is a central component of the peer-review process (<xref ref-type="bibr" rid="R6">Bustin, 2025</xref>; <xref ref-type="bibr" rid="R16">Hoogenboom &amp; Manske, 2012</xref>), ensuring the quality, credibility, and relevance of published research (<xref ref-type="bibr" rid="R7">Chew et al., 2025</xref>; <xref ref-type="bibr" rid="R18">Jha, 2014</xref>; <xref ref-type="bibr" rid="R19">Kadam, 2025</xref>). However, in practice, peer-review remains a largely unstandardized and heterogeneous process, with substantial variability in reviewer practices, limited formal training, and no universally accepted evaluation criteria, often leading to inconsistent and, at times, superficial assessments (<xref ref-type="bibr" rid="R11">Falavigna et al., 2017</xref>; <xref ref-type="bibr" rid="R21">Lu et al., 2022</xref>; <xref ref-type="bibr" rid="R39">Sizo et al., 2025</xref>).</p>
      <p>In sport science, these limitations are particularly pronounced due to the inherently multidisciplinary nature of the field (<xref ref-type="bibr" rid="R30">Piggott et al., 2019</xref>; <xref ref-type="bibr" rid="R34">Reid et al., 2004</xref>), combined with the complexity and increasing volume of performance-related data (Bai &amp; <xref ref-type="bibr" rid="R2">Bai, 2021</xref>; <xref ref-type="bibr" rid="R24">Mănescu, 2025</xref>; <xref ref-type="bibr" rid="R35">Rein &amp; Memmert, 2016</xref>). Studies often involve large, multidimensional datasets, context-dependent variables (e.g., match status, opponent quality), and applied performance environments, which require domain-specific criteria for proper evaluation (<xref ref-type="bibr" rid="R13">Goes et al., 2021</xref>; <xref ref-type="bibr" rid="R25">McGarry, 2009</xref>; <xref ref-type="bibr" rid="R27">Memmert, 2025</xref>). In parallel, editorial decisions are influenced not only by methodological rigor, but also by factors such as alignment with journal scope, ethical compliance, and clarity of scientific communication (<xref ref-type="bibr" rid="R1">Arthur, 2020</xref>; <xref ref-type="bibr" rid="R9">Edmans, 2025</xref>; <xref ref-type="bibr" rid="R20">Lake, 2020</xref>; <xref ref-type="bibr" rid="R29">Pickett &amp; McDonnell, 2017</xref>).</p>
      <p>Despite the growing number of publications providing guidance on how to perform peer review, these contributions are frequently either too generic (<xref ref-type="bibr" rid="R8">Dhillon, 2021</xref>; <xref ref-type="bibr" rid="R17">Hughes et al., 2023</xref>; <xref ref-type="bibr" rid="R21">Lu et al., 2022</xref>; <xref ref-type="bibr" rid="R28">Mondal et al., 2023</xref>; <xref ref-type="bibr" rid="R38">Sedaghat et al., 2024</xref>; <xref ref-type="bibr" rid="R39">Sizo et al., 2025</xref>) or overly tailored to specific fields such as clinical research (<xref ref-type="bibr" rid="R11">Falavigna et al., 2017</xref>; <xref ref-type="bibr" rid="R37">Schulte et al., 2024</xref>). Consequently, there remains a lack of comprehensive, standardized, and domain-specific frameworks capable of supporting consistent and contextually appropriate evaluation of sport science manuscripts. A recent conceptual framework proposed that publishable sport science research should be understood as a progressive and hierarchical process, moving from conceptual foundations to methodological and analytical rigor, research transparency, and effective scientific communication, ultimately leading to both scientific and practical impact (<xref ref-type="bibr" rid="R31">Plakias, 2026a</xref>). However, although this framework provides a structured understanding of research quality, it does not directly translate into an operational tool for manuscript evaluation.</p>
      <p>Therefore, the aim of the present study is to develop a comprehensive, domain-specific reviewer checklist for sport science journals. The proposed checklist operationalizes the dimensions of research quality into practical evaluation criteria, while also incorporating a preliminary editorial and ethical screening stage that reflects the realities of desk rejection. By providing a structured and hierarchical evaluation tool, this work seeks to enhance the quality and transparency of the peer-review process within sport science.</p>
      <sec>
        <title>Peer-Review Checklist Framework</title>
        <p>The proposed checklist (Table 1) is designed as a practical extension of the previously published conceptual framework of research quality in sport science (<xref ref-type="bibr" rid="R31">Plakias, 2026a</xref>). While the original framework conceptualized publishability, the present checklist operationalizes these dimensions into concrete evaluation criteria applicable during peer review. In addition, the checklist incorporates a preliminary editorial and ethical screening stage, reflecting the realities of the manuscript selection process, where a substantial proportion of submissions are desk-rejected prior to full peer-review (<xref ref-type="bibr" rid="R3">Beugelsdijk &amp; Bird, 2025</xref>; <xref ref-type="bibr" rid="R9">Edmans, 2025</xref>; <xref ref-type="bibr" rid="R26">Meijer &amp; Webster, 2024</xref>). The checklist is structured hierarchically, guiding reviewers from fundamental eligibility criteria to deeper levels of scientific evaluation and, ultimately, to the assessment of practical and scientific impact.</p>
        <p>It should be noted that Level 0 primarily represents an editorial screening stage conducted before external peer review. This level includes criteria such as journal scope alignment, compliance with author guidelines, ethical requirements, and checks for plagiarism or duplicate publication. In contrast, Levels 1–6 are primarily intended to guide reviewers in evaluating the scientific quality, rigor, transparency, communication, and impact of submitted manuscripts.</p>
        <table-wrap id="table1" position="float">
          <label>Table 1</label>
          <caption>
            <title>Checklist for Evaluating Scientific Rigor and Publishability in Sport Science Research</title>
          </caption>
          <table>
            <thead>
              <tr>
                <th>Level</th>
                <th>Key evaluation criteria</th>
                <th>Critical considerations</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>0. Editorial screening</td>
                <td>Alignment with the aims and scope of the journal Compliance with author guidelines (format, structure, reference style) Absence of plagiarism or duplicate publication Disclosure of conflicts of interest; Ethical approval and informed consent (where applicable)</td>
                <td>Manuscripts failing to meet these criteria may be rejected without further scientific evaluation, highlighting the importance of this screening stage in the editorial decision-making process.</td>
              </tr>
              <tr>
                <td>1.</td>
                <td>Clarity and specificity of the research question or objective Presence of a genuine and meaningful research gap Theoretical or conceptual grounding of the study Explicit positioning as exploratory, descriptive, or confirmatory research Relevance and potential contribution to the field</td>
                <td>Studies lacking a clear conceptual foundation or presenting purely descriptive analyses without theoretical contribution may have limited scientific value and are highly likely to be rejected at the editorial stage before being sent out for peer review.</td>
              </tr>
              <tr>
                <td>2.</td>
                <td>Alignment between research question and study design Appropriateness and justification (e.g., power analysis for quantitative studies or data saturation in qualitative research) of the sample Validity and reliability of measurement tools and data sources (e.g., GPS accuracy, coding reliability, instrument validation) Consideration of contextual variables (e.g., match status, opponent quality) Ecological validity of the study setting; Control of confounding factors; - Transparency in data collection procedures</td>
                <td>Failure to account for contextual and ecological factors may compromise the validity and interpretability of findings in sport science research.</td>
              </tr>
              <tr>
                <td>3.</td>
                <td>Appropriateness of statistical or computational methods (for quantitative studies) or analytical approach (for qualitative studies) Reporting of effect sizes and confidence intervals (where applicable) Assessment of model assumptions or, in qualitative research, clarity and appropriateness of the analytical framework (e.g., thematic analysis, grounded theory) Handling of data structure (e.g., multilevel, longitudinal, time-series) or, in qualitative studies, adequacy of data depth and richness Handling of missing data and outliers Consideration of interaction effects and non-linear relationships, or, in qualitative research, depth of interpretation and identification of patterns/themes Transparency in analytical decisions, including coding procedures, theme development, and researcher reflexivity (for qualitative studies) Demonstration of qualitative trustworthiness through credibility, transferability, dependability, confirmability, and researcher reflexivity (for qualitative studies)</td>
                <td>Overreliance on statistical significance testing without consideration of effect magnitude and context, or, in qualitative research, superficial analysis lacking depth, transparency, or reflexivity, may lead to misleading conclusions.</td>
              </tr>
              <tr>
                <td>4.</td>
                <td>Completeness of methodological reporting (i.e., sufficient detail to allow critical appraisal and potential replication of the study); Adherence to reporting guidelines (e.g., CONSORT, STROBE, COREQ) Transparency in data processing and analytical decisions; Pre-registration of study protocols (e.g., OSF) or clear distinction between confirmatory and exploratory analyses Reporting of deviations from the original study protocol or analytical plan (when applicable) Availability of data, code, or supplementary materials (when feasible)</td>
                <td>Incomplete reporting limits reproducibility and reduces confidence in the findings. However, while pre-registration and open data practices are increasingly encouraged, their feasibility may be limited in elite sport settings due to data sensitivity and confidentiality constraints.</td>
              </tr>
              <tr>
                <td>5.</td>
                <td>Logical structure and coherence of the manuscript Clarity of writing and argumentation Appropriate presentation of results (tables, figures) Consistency between results and interpretation Avoidance of overinterpretation Clear acknowledgment and critical discussion of study limitations Appropriate use of references, including relevance, accuracy, and adequate integration with existing literature</td>
                <td>Poor communication can obscure otherwise valid findings and limit their impact, while failure to acknowledge study limitations or appropriately position findings within the existing literature may lead to overinterpretation and compromise credibility.</td>
              </tr>
              <tr>
                <td>6.</td>
                <td>Scientific contribution and originality (i.e., the extent to which the study provides added value beyond existing knowledge) Practical relevance and clarity of translation into applied settings (e.g., actionable implications for coaches and analysts) Generalisability or transferability of findings across contexts, populations, or performance levels</td>
                <td>Studies may demonstrate methodological rigor but offer limited novelty (reducing their contribution to the advancement of the field) or fail to provide clear, actionable implications for practice (limiting their applied impact).</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>The final proposed framework is illustrated in Figure 1 as a circular and iterative evaluation process. Unlike linear models, this representation reflects the dynamic nature of peer review, where the assessment begins with editorial screening and ultimately returns to the editor for final decision-making. This cyclical structure emphasizes the continuous interaction between reviewers and editors, as well as the progressive refinement of the manuscript across different levels of evaluation.</p>
        <fig id="fig1" position="float">
          <label>Figure 1</label>
          <caption>
            <title>Circular peer-review checklist framework for sport science manuscripts. The model illustrates the cyclical nature of manuscript evaluation, emphasizing that the process both begins and concludes with the editor</title>
          </caption>
          <graphic xlink:href="data:image/png;base64,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"/>
        </fig>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>Discussion</title>
      <p>The present study proposes a domain-specific peer-review checklist for sport science journals, translating a previously developed conceptual framework of publishable research (<xref ref-type="bibr" rid="R31">Plakias, 2026a</xref>) into a practical evaluation tool. By operationalizing key dimensions of research quality into practical evaluation criteria, the checklist addresses the need for greater consistency and relevance in the peer-review process of sport science research.</p>
      <p>A key contribution of the proposed framework is the integration of both hierarchical and iterative elements of manuscript evaluation. While the checklist is organized into progressive levels, ranging from editorial screening to scientific and practical impact, the circular representation reflects the dynamic nature of peer review, in which manuscripts are continuously refined through interactions between editors, reviewers and authors (<xref ref-type="bibr" rid="R36">Richards et al., 2021</xref>; <xref ref-type="bibr" rid="R40">Tennant, 2018</xref>). This perspective moves beyond traditional linear approaches and more accurately captures the realities of editorial decision-making.</p>
      <p>The checklist also responds to limitations identified in existing reviewer guidelines, which are often either generic or tailored to specific domains (<xref ref-type="bibr" rid="R8">Dhillon, 2021</xref>; <xref ref-type="bibr" rid="R11">Falavigna et al., 2017</xref>; <xref ref-type="bibr" rid="R17">Hughes et al., 2023</xref>; <xref ref-type="bibr" rid="R21">Lu et al., 2022</xref>; <xref ref-type="bibr" rid="R28">Mondal et al., 2023</xref>; <xref ref-type="bibr" rid="R37">Schulte et al., 2024</xref>; <xref ref-type="bibr" rid="R38">Sedaghat et al., 2024</xref>; <xref ref-type="bibr" rid="R39">Sizo et al., 2025</xref>). By incorporating sport-specific considerations, such as contextual variables, ecological validity, and the research–practice gap, the proposed framework provides a more relevant and comprehensive tool for evaluating studies in this field. In particular, the inclusion of practical relevance and the translation of findings into applied settings reflects the applied nature of sport science and the increasing demand for research that informs practice (<xref ref-type="bibr" rid="R4">Bishop et al., 2006</xref>; <xref ref-type="bibr" rid="R10">Eisenmann, 2017</xref>; <xref ref-type="bibr" rid="R12">Fullagar et al., 2019</xref>; <xref ref-type="bibr" rid="R14">Halperin, 2018</xref>; <xref ref-type="bibr" rid="R15">Halperin et al., 2018</xref>; <xref ref-type="bibr" rid="R23">Malone et al., 2019</xref>; <xref ref-type="bibr" rid="R32">Plakias, 2026b</xref>; <xref ref-type="bibr" rid="R33">Plakias et al., 2025</xref>).</p>
      <p>Furthermore, previous guidelines have predominantly approached manuscript evaluation through a section-based structure (e.g., title, abstract, methods, results, discussion) (<xref ref-type="bibr" rid="R1">Arthur, 2020</xref>; <xref ref-type="bibr" rid="R5">Busse &amp; August, 2021</xref>; <xref ref-type="bibr" rid="R17">Hughes et al., 2023</xref>; <xref ref-type="bibr" rid="R22">Maiorana &amp; Mayer, 2018</xref>; <xref ref-type="bibr" rid="R39">Sizo et al., 2025</xref>). In contrast, the present framework adopts a logic-driven and hierarchical approach, focusing on the underlying dimensions of research quality rather than the formal structure of the manuscript. Detailed considerations regarding the content of individual sections are already addressed in the previously published conceptual framework (<xref ref-type="bibr" rid="R31">Plakias, 2026a</xref>) and are therefore not repeated here.</p>
      <p>From a practical perspective, the checklist may support reviewers in conducting more comprehensive and consistent evaluations, while assisting editors in making more consistent and transparent decisions. In addition, it may provide authors with clearer expectations regarding the criteria used to assess their work, potentially improving the overall quality of submitted manuscripts.</p>
      <p>Despite these contributions, some limitations should be acknowledged. First, the checklist has not yet been empirically validated. Future research could examine its reliability, usability, and impact on review quality across different journals and reviewer populations. Second, certain elements of research transparency, such as pre-registration and data sharing, may not always be feasible in elite sport contexts due to data sensitivity and confidentiality constraints. Therefore, the application of these criteria should be considered in relation to the specific context of the study.</p>
    </sec>
    <sec id="sec-5">
      <title>Conclusions</title>
      <p>The proposed peer-review checklist provides a practical extension of a conceptual framework of research quality, offering a practical and domain-specific tool for the evaluation of sport science manuscripts. By integrating hierarchical evaluation criteria within a cyclical review process, the framework reflects both the logic of scientific reasoning and the realities of editorial decision-making. Its adoption may contribute to more consistent, transparent, and contextually appropriate peer-review in sport science. Future studies should empirically evaluate the reliability, usability, and effectiveness of the proposed checklist across reviewers and journals.”</p>
    </sec>
    <sec id="sec-6">
      <title>Acknowledgments</title>
      <p>XX</p>
      <sec>
        <title>AI DISCLOSURE STATEMENT</title>
        <p>The author acknowledges the use of ChatGPT (OpenAI) solely for improving the clarity and quality of the English language.</p>
      </sec>
    </sec>
    <sec id="sec-8">
      <title>Data availability</title>
      <p>No new data were created or analyzed in this study. Data sharing is not applicable to this article.</p>
    </sec>
    <sec id="sec-9">
      <title>Funding</title>
      <p>No funding was received for the preparation of this manuscript.</p>
    </sec>
    <sec id="sec-10">
      <title>Conflict of interest</title>
      <p>The author hereby declares that this research is free from conflicts of interest with any party.</p>
      <sec>
        <title>PUBLISHER’S NOTE</title>
        <p>All claims expressed in this article are solely those of the author and do not necessarily represent those of the author's affiliated organization, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or any claim made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
      </sec>
    </sec>
    <!-- PESSR Stage 13B result | chart-rels=none | svg-built=0 -->
  </body>
  <back>
    <ref-list>
      <title>References</title>
      <ref id="R1">
        <label>1</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Arthur, F. H.</string-name></person-group> (<year>2020</year>). <article-title>Scientific manuscripts and the peer-review process</article-title>. <source>American Entomologist</source>, <volume>66</volume>(<issue>4</issue>), <fpage>36</fpage>–<lpage>40</lpage>. <pub-id pub-id-type="doi">10.1093/ae/tmaa053</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1093/ae/tmaa053">https://doi.org/10.1093/ae/tmaa053</ext-link></mixed-citation>
      </ref>
      <ref id="R2">
        <label>2</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Bai, Z.</string-name>, &amp; <string-name>Bai, X.</string-name></person-group> (<year>2021</year>). <article-title>Sports big data: management, analysis, applications, and challenges</article-title>. <source>Complexity</source>, <volume>2021</volume>(<issue>1</issue>), <elocation-id>6676297</elocation-id>. <pub-id pub-id-type="doi">10.1155/2021/6676297</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1155/2021/6676297">https://doi.org/10.1155/2021/6676297</ext-link></mixed-citation>
      </ref>
      <ref id="R3">
        <label>3</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Beugelsdijk, S.</string-name>, &amp; <string-name>Bird, A.</string-name></person-group> (<year>2025</year>). <article-title>How to avoid a desk reject: do’s and don’ts</article-title>. <source>Journal of International Business Studies</source>, <volume>56</volume>(<issue>3</issue>), <fpage>301</fpage>–<lpage>310</lpage>. <pub-id pub-id-type="doi">10.1057/s41267-024-00712-8</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1057/s41267-024-00712-8">https://doi.org/10.1057/s41267-024-00712-8</ext-link></mixed-citation>
      </ref>
      <ref id="R4">
        <label>4</label>
        <mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Bishop, D.</string-name>, <string-name>Burnett, A.</string-name>, <string-name>Farrow, D.</string-name>, <string-name>Gabbett, T.</string-name>, <string-name>Newton</string-name>, <string-name>R</string-name></person-group> (<year>2006</year>). <article-title>Sports-science roundtable: does sports-science research influence practice? International journal of sports physiology and performance, 1(2), 161-168</article-title> <pub-id pub-id-type="doi">10.1123/ijspp.1.2.161</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1123/ijspp.1.2.161">https://doi.org/10.1123/ijspp.1.2.161</ext-link></mixed-citation>
      </ref>
      <ref id="R5">
        <label>5</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Busse, C.</string-name>, &amp; <string-name>August, E.</string-name></person-group> (<year>2021</year>). <article-title>How to write and publish a research paper for a peer-reviewed journal</article-title>. <source>Journal of Cancer Education</source>, <volume>36</volume>(<issue>5</issue>), <fpage>909</fpage>–<lpage>913</lpage>. <pub-id pub-id-type="doi">10.1007/s13187-020-01751-z</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1007/s13187-020-01751-z">https://doi.org/10.1007/s13187-020-01751-z</ext-link></mixed-citation>
      </ref>
      <ref id="R6">
        <label>6</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Bustin, S. A.</string-name></person-group> (<year>2025</year>). <article-title>Beyond the Review: The Editorial Duty to Uphold Professional Conduct</article-title>. <source>Publications</source>, <volume>13</volume>(<issue>4</issue>), <elocation-id>48</elocation-id>. <pub-id pub-id-type="doi">10.3390/publications13040048</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3390/publications13040048">https://doi.org/10.3390/publications13040048</ext-link></mixed-citation>
      </ref>
      <ref id="R7">
        <label>7</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Chew, J. A.</string-name>, <string-name>Emmert, J. L.</string-name>, <string-name>Klasing, K. C.</string-name>, <string-name>Kogut, M.</string-name>, <string-name>Fairchild, B.</string-name>, &amp; <string-name>Ali, M.</string-name></person-group> (<year>2025</year>). <article-title>Symposium: Essentials of scientific writing for publications</article-title>. <source>Poultry science</source>, <volume>104</volume>(<issue>5</issue>), <elocation-id>104989</elocation-id>. <pub-id pub-id-type="doi">10.1016/j.psj.2025.104989</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.psj.2025.104989">https://doi.org/10.1016/j.psj.2025.104989</ext-link></mixed-citation>
      </ref>
      <ref id="R8">
        <label>8</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Dhillon, P.</string-name></person-group> (<year>2021</year>). <article-title>How to be a good peer reviewer of scientific manuscripts</article-title>. <source>The FEBS journal</source>, <volume>288</volume>(<issue>9</issue>), <fpage>2750</fpage>–<lpage>2756</lpage>. <pub-id pub-id-type="doi">10.1111/febs.15705</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1111/febs.15705">https://doi.org/10.1111/febs.15705</ext-link></mixed-citation>
      </ref>
      <ref id="R9">
        <label>9</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Edmans, A.</string-name></person-group> (<year>2025</year>). <article-title>Learnings from 1000 rejections</article-title>. <source>Financial Management</source>, <volume>54</volume>(<issue>2</issue>), <fpage>419</fpage>–<lpage>444</lpage>. <pub-id pub-id-type="doi">10.1111/fima.12487</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1111/fima.12487">https://doi.org/10.1111/fima.12487</ext-link></mixed-citation>
      </ref>
      <ref id="R10">
        <label>10</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Eisenmann, J.</string-name></person-group> (<year>2017</year>). <article-title>Translational gap between laboratory and playing field: new era to solve old problems in sports science</article-title>. <source>Translational Journal of the American College of Sports Medicine</source>, <volume>2</volume>(<issue>8</issue>), <fpage>37</fpage>–<lpage>43</lpage>. <pub-id pub-id-type="doi">10.1249/TJX.0000000000000032</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1249/TJX.0000000000000032">https://doi.org/10.1249/TJX.0000000000000032</ext-link></mixed-citation>
      </ref>
      <ref id="R11">
        <label>11</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Falavigna, A.</string-name>, <string-name>Blauth, M.</string-name>, &amp; <string-name>Kates, S. L.</string-name></person-group> (<year>2017</year>). <article-title>Critical review of a scientific manuscript: a practical guide for reviewers</article-title>. <source>Journal of Neurosurgery</source>, <volume>128</volume>(<issue>1</issue>), <fpage>312</fpage>–<lpage>321</lpage>. <pub-id pub-id-type="doi">10.3171/2017.5.JNS17809</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3171/2017.5.JNS17809">https://doi.org/10.3171/2017.5.JNS17809</ext-link></mixed-citation>
      </ref>
      <ref id="R12">
        <label>12</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Fullagar, H. H.</string-name>, <string-name>McCall, A.</string-name>, <string-name>Impellizzeri, F. M.</string-name>, <string-name>Favero, T.</string-name>, &amp; <string-name>Coutts, A. J.</string-name></person-group> (<year>2019</year>). <article-title>The translation of sport science research to the field: a current opinion and overview on the perceptions of practitioners, researchers and coaches</article-title>. <source>Sports medicine</source>, <volume>49</volume>(<issue>12</issue>), <fpage>1817</fpage>–<lpage>1824</lpage>. <pub-id pub-id-type="doi">10.1007/s40279-019-01139-0</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1007/s40279-019-01139-0">https://doi.org/10.1007/s40279-019-01139-0</ext-link></mixed-citation>
      </ref>
      <ref id="R13">
        <label>13</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Goes, F.</string-name>, <string-name>Meerhoff, L.</string-name>, <string-name>Bueno, M.</string-name>, <string-name>Rodrigues, D.</string-name>, <string-name>Moura, F.</string-name>, <string-name>Brink, M.</string-name>, <string-name>Elferink-Gemser, M.</string-name>, <string-name>Knobbe, A.</string-name>, <string-name>Cunha, S.</string-name>, &amp; <string-name>Torres, R.</string-name></person-group> (<year>2021</year>). <article-title>Unlocking the potential of big data to support tactical performance analysis in professional soccer: A systematic review</article-title>. <source>European Journal of Sport Science</source>, <volume>21</volume>(<issue>4</issue>), <fpage>481</fpage>–<lpage>496</lpage>. <pub-id pub-id-type="doi">10.1080/17461391.2020.1747552</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1080/17461391.2020.1747552">https://doi.org/10.1080/17461391.2020.1747552</ext-link></mixed-citation>
      </ref>
      <ref id="R14">
        <label>14</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Halperin, I.</string-name></person-group> (<year>2018</year>). <article-title>Case studies in exercise and sport sciences: a powerful tool to bridge the science–practice gap</article-title>. <source>International journal of sports physiology and performance</source>, <volume>13</volume>(<issue>6</issue>), <fpage>824</fpage>–<lpage>825</lpage>. <pub-id pub-id-type="doi">10.1123/ijspp.2018-0185</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1123/ijspp.2018-0185">https://doi.org/10.1123/ijspp.2018-0185</ext-link></mixed-citation>
      </ref>
      <ref id="R15">
        <label>15</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Halperin, I.</string-name>, <string-name>Vigotsky, A. D.</string-name>, <string-name>Foster, C.</string-name>, &amp; <string-name>Pyne, D. B.</string-name></person-group> (<year>2018</year>). <article-title>Strengthening the practice of exercise and sport-science research</article-title>. <source>International journal of sports physiology and performance</source>, <volume>13</volume>(<issue>2</issue>), <fpage>127</fpage>–<lpage>134</lpage>. <pub-id pub-id-type="doi">10.1123/ijspp.2017-0322</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1123/ijspp.2017-0322">https://doi.org/10.1123/ijspp.2017-0322</ext-link></mixed-citation>
      </ref>
      <ref id="R16">
        <label>16</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Hoogenboom, B. J.</string-name>, &amp; <string-name>Manske, R. C.</string-name></person-group> (<year>2012</year>). <article-title>How to write a scientific article</article-title>. <source>International journal of sports physical therapy</source>, <volume>7</volume>(<issue>5</issue>).</mixed-citation>
      </ref>
      <ref id="R17">
        <label>17</label>
        <mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Hughes, J. D.</string-name>, <string-name>Cristiani, R.</string-name>, <string-name>Hirschmann, M. T.</string-name>, <string-name>Musahl, V.</string-name>, <string-name>Eriksson, K.</string-name>, <string-name>Karlsson</string-name>, <string-name>J</string-name></person-group> (<year>2023</year>). <article-title>Tips and tricks for how to become a good reviewer</article-title>. <source>Knee surgery, sports traumatology, arthroscopy, 31(11), 4631-4636</source> <pub-id pub-id-type="doi">10.1007/s00167-023-07595-6</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1007/s00167-023-07595-6">https://doi.org/10.1007/s00167-023-07595-6</ext-link></mixed-citation>
      </ref>
      <ref id="R18">
        <label>18</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Jha, K. N.</string-name></person-group> (<year>2014</year>). <article-title>How to write articles that get published</article-title>. <source>Journal of clinical and diagnostic research: JCDR</source>, <volume>8</volume>(<issue>9</issue>). <pub-id pub-id-type="doi">10.7860/JCDR/2014/8107.4855</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.7860/JCDR/2014/8107.4855">https://doi.org/10.7860/JCDR/2014/8107.4855</ext-link></mixed-citation>
      </ref>
      <ref id="R19">
        <label>19</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Kadam, S. D.</string-name></person-group> (<year>2025</year>). <article-title>Challenges in scientific writing: Editor's perspective</article-title>. <source>Journal of Ayurveda Case Reports</source>, <volume>8</volume>(<issue>1</issue>), <fpage>1</fpage>–<lpage>4</lpage>. <pub-id pub-id-type="doi">10.4103/jacr.jacr_47_25</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4103/jacr.jacr_47_25">https://doi.org/10.4103/jacr.jacr_47_25</ext-link></mixed-citation>
      </ref>
      <ref id="R20">
        <label>20</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Lake, E. T.</string-name></person-group> (<year>2020</year>). <article-title>Why and how to avoid a desk‐rejection</article-title>. <source>Research in Nursing &amp; Health</source>, <volume>43</volume>(<issue>2</issue>), <fpage>141</fpage>–<lpage>142</lpage>. <pub-id pub-id-type="doi">10.1002/nur.22016</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1002/nur.22016">https://doi.org/10.1002/nur.22016</ext-link></mixed-citation>
      </ref>
      <ref id="R21">
        <label>21</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Lu, E. P.</string-name>, <string-name>Fischer, B. G.</string-name>, <string-name>Plesac, M. A.</string-name>, &amp; <string-name>Olson, A. P.</string-name></person-group> (<year>2022</year>). <article-title>Research methods: how to perform an effective peer review</article-title>. <source>Hospital pediatrics</source>, <volume>12</volume>(<issue>11</issue>), <fpage>e409</fpage>–<lpage>e413</lpage>. <pub-id pub-id-type="doi">10.1542/hpeds.2022-006764</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1542/hpeds.2022-006764">https://doi.org/10.1542/hpeds.2022-006764</ext-link></mixed-citation>
      </ref>
      <ref id="R22">
        <label>22</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Maiorana, F. A.</string-name>, &amp; <string-name>Mayer, H. F.</string-name></person-group> (<year>2018</year>). <article-title>How to avoid common errors in writing scientific manuscripts</article-title>. <source>European Journal of Plastic Surgery</source>, <volume>41</volume>(<issue>5</issue>), <fpage>489</fpage>–<lpage>494</lpage>. <pub-id pub-id-type="doi">10.1007/s00238-018-1418-z</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1007/s00238-018-1418-z">https://doi.org/10.1007/s00238-018-1418-z</ext-link></mixed-citation>
      </ref>
      <ref id="R23">
        <label>23</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Malone, J. J.</string-name>, <string-name>Harper, L. D.</string-name>, <string-name>Jones, B.</string-name>, <string-name>Perry, J.</string-name>, <string-name>Barnes, C.</string-name>, &amp; <string-name>Towlson, C.</string-name></person-group> (<year>2019</year>). <article-title>Perspectives of applied collaborative sport science research within professional team sports</article-title>. <source>European Journal of Sport Science</source>, <volume>19</volume>(<issue>2</issue>), <fpage>147</fpage>–<lpage>155</lpage>. <pub-id pub-id-type="doi">10.1080/17461391.2018.1492632</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1080/17461391.2018.1492632">https://doi.org/10.1080/17461391.2018.1492632</ext-link></mixed-citation>
      </ref>
      <ref id="R24">
        <label>24</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Mănescu, D. C.</string-name></person-group> (<year>2025</year>). <article-title>Big Data Analytics Framework for Decision-Making in Sports Performance Optimization</article-title>. <source>Data</source>, <volume>10</volume>(<issue>7</issue>), <elocation-id>116</elocation-id>. <pub-id pub-id-type="doi">10.3390/data10070116</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3390/data10070116">https://doi.org/10.3390/data10070116</ext-link></mixed-citation>
      </ref>
      <ref id="R25">
        <label>25</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>McGarry, T.</string-name></person-group> (<year>2009</year>). <article-title>Applied and theoretical perspectives of performance analysis in sport: Scientific issues and challenges</article-title>. <source>International Journal of Performance Analysis in Sport</source>, <volume>9</volume>(<issue>1</issue>), <fpage>128</fpage>–<lpage>140</lpage>. <pub-id pub-id-type="doi">10.1080/24748668.2009.11868469</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1080/24748668.2009.11868469">https://doi.org/10.1080/24748668.2009.11868469</ext-link></mixed-citation>
      </ref>
      <ref id="R26">
        <label>26</label>
        <mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Meijer, A.</string-name>, <string-name>Webster</string-name>, <string-name>W</string-name></person-group> (<year>2024</year>). <article-title>Why do we desk reject so many papers? Information Polity, 29(4), 377-378</article-title> <pub-id pub-id-type="doi">10.1177/15701255241302781</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1177/15701255241302781">https://doi.org/10.1177/15701255241302781</ext-link></mixed-citation>
      </ref>
      <ref id="R27">
        <label>27</label>
        <mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Memmert</string-name>, <string-name>D</string-name></person-group> (<year>2025</year>). <article-title>Editorial for Sports Performance section of Journal of Sports Sciences: Moving match analysis forward – Guidelines and perspectives</article-title>. <source>Journal of Sports Sciences, 1-8</source> <pub-id pub-id-type="doi">10.1080/02640414.2025.2535850</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1080/02640414.2025.2535850">https://doi.org/10.1080/02640414.2025.2535850</ext-link></mixed-citation>
      </ref>
      <ref id="R28">
        <label>28</label>
        <mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Mondal, S.</string-name>, <string-name>Juhi, A.</string-name>, <string-name>Kumari, A.</string-name>, <string-name>Dhanvijay, A. K.</string-name>, <string-name>Mittal, S.</string-name>, <string-name>Mondal</string-name>, <string-name>H</string-name></person-group> (<year>2023</year>). <article-title>Peer review in scientific publishing: Current practice, guidelines, relevancy, and way forward</article-title>. <source>CosmoDerma, 3</source> <pub-id pub-id-type="doi">10.25259/CSDM_35_2023</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.25259/CSDM_35_2023">https://doi.org/10.25259/CSDM_35_2023</ext-link></mixed-citation>
      </ref>
      <ref id="R29">
        <label>29</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Pickett, S. T.</string-name>, &amp; <string-name>McDonnell, M. J.</string-name></person-group> (<year>2017</year>). <article-title>The art and science of writing a publishable article</article-title>. <source>Journal of Urban Ecology</source>, <volume>3</volume>(<issue>1</issue>). <pub-id pub-id-type="doi">10.1093/jue/jux018</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1093/jue/jux018">https://doi.org/10.1093/jue/jux018</ext-link></mixed-citation>
      </ref>
      <ref id="R30">
        <label>30</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Piggott, B.</string-name>, <string-name>Müller, S.</string-name>, <string-name>Chivers, P.</string-name>, <string-name>Papaluca, C.</string-name>, &amp; <string-name>Hoyne, G.</string-name></person-group> (<year>2019</year>). <article-title>Is sports science answering the call for interdisciplinary research? A systematic review</article-title>. <source>European Journal of Sport Science</source>, <volume>19</volume>(<issue>3</issue>), <fpage>267</fpage>–<lpage>286</lpage>. <pub-id pub-id-type="doi">10.1080/17461391.2018.1508506</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1080/17461391.2018.1508506">https://doi.org/10.1080/17461391.2018.1508506</ext-link></mixed-citation>
      </ref>
      <ref id="R31">
        <label>31</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Plakias, S.</string-name></person-group> (<year>2026a</year>). <article-title>An Integrated Framework for Publishable Sport Science Research</article-title>. <source>Publications</source>, <volume>14</volume>(<issue>2</issue>), <elocation-id>26</elocation-id>. <pub-id pub-id-type="doi">10.3390/publications14020026</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3390/publications14020026">https://doi.org/10.3390/publications14020026</ext-link></mixed-citation>
      </ref>
      <ref id="R32">
        <label>32</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Plakias, S.</string-name></person-group> (<year>2026b</year>). <article-title>Reclaiming the value of qualitative analysis in sports performance research</article-title>. <source>Physical Education and Sports: Studies and Research</source>, <volume>5</volume>(<issue>1</issue>), <fpage>1</fpage>–<lpage>6</lpage>. <pub-id pub-id-type="doi">10.56003/pessr.v5i1.672</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.56003/pessr.v5i1.672">https://doi.org/10.56003/pessr.v5i1.672</ext-link></mixed-citation>
      </ref>
      <ref id="R33">
        <label>33</label>
        <mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Plakias, S.</string-name>, <string-name>Tsatalas, T.</string-name>, <string-name>Betsios, X.</string-name>, <string-name>Giakas</string-name>, <string-name>G</string-name></person-group> (<year>2025</year>). <article-title>A new era in soccer performance analysis research? Insight - Sports Science, 7(1), 741</article-title> <pub-id pub-id-type="doi">10.18282/iss741</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.18282/iss741">https://doi.org/10.18282/iss741</ext-link></mixed-citation>
      </ref>
      <ref id="R34">
        <label>34</label>
        <mixed-citation publication-type="other"><person-group person-group-type="author"><string-name>Reid, C.</string-name>, <string-name>Stewart, E.</string-name>, <string-name>Thorne</string-name>, <string-name>G</string-name></person-group> (<year>2004</year>). <article-title>Multidisciplinary sport science teams in elite sport: Comprehensive servicing or conflict and confusion? The sport psychologist, 18(2), 204-217</article-title> <pub-id pub-id-type="doi">10.1123/tsp.18.2.204</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1123/tsp.18.2.204">https://doi.org/10.1123/tsp.18.2.204</ext-link></mixed-citation>
      </ref>
      <ref id="R35">
        <label>35</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Rein, R.</string-name>, &amp; <string-name>Memmert, D.</string-name></person-group> (<year>2016</year>). <article-title>Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science</article-title>. <source>SpringerPlus</source>, <volume>5</volume>(<issue>1</issue>), <fpage>1</fpage>–<lpage>13</lpage>. <pub-id pub-id-type="doi">10.1186/s40064-016-3108-2</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1186/s40064-016-3108-2">https://doi.org/10.1186/s40064-016-3108-2</ext-link></mixed-citation>
      </ref>
      <ref id="R36">
        <label>36</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Richards, K. A. R.</string-name>, <string-name>Hemphill, M. A.</string-name>, &amp; <string-name>Flory, S. B.</string-name></person-group> (<year>2021</year>). <article-title>A collaborative approach to manuscript revisions and responses to reviewer comments</article-title>. <source>Journal of teaching in physical education</source>, <volume>41</volume>(<issue>3</issue>), <fpage>341</fpage>–<lpage>346</lpage>. <pub-id pub-id-type="doi">10.1123/jtpe.2021-0118</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1123/jtpe.2021-0118">https://doi.org/10.1123/jtpe.2021-0118</ext-link></mixed-citation>
      </ref>
      <ref id="R37">
        <label>37</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Schulte, P. J.</string-name>, <string-name>Goldberg, J. D.</string-name>, <string-name>Oster, R. A.</string-name>, <string-name>Ambrosius, W. T.</string-name>, <string-name>Bonner, L. B.</string-name>, <string-name>Cabral, H.</string-name>, <string-name>Carter, R. E.</string-name>, <string-name>Chen, Y.</string-name>, <string-name>Desai, M.</string-name>, &amp; <string-name>Li, D.</string-name></person-group> (<year>2024</year>). <article-title>Peer review of clinical and translational research manuscripts: Perspectives from statistical collaborators</article-title>. <source>Journal of Clinical and Translational Science</source>, <volume>8</volume>(<issue>1</issue>), <elocation-id>e20</elocation-id>. <pub-id pub-id-type="doi">10.1017/cts.2023.707</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/cts.2023.707">https://doi.org/10.1017/cts.2023.707</ext-link></mixed-citation>
      </ref>
      <ref id="R38">
        <label>38</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Sedaghat, A. R.</string-name>, <string-name>Bernal‐Sprekelsen, M.</string-name>, <string-name>Fokkens, W. J.</string-name>, <string-name>Smith, T. L.</string-name>, <string-name>Stewart, M. G.</string-name>, &amp; <string-name>Johnson, R. F.</string-name></person-group> (<year>2024</year>). <article-title>How to be a good reviewer: A step‐by‐step guide for approaching peer review of a scientific manuscript</article-title>. <source>Laryngoscope investigative otolaryngology</source>, <volume>9</volume>(<issue>3</issue>), <elocation-id>e1266</elocation-id>. <pub-id pub-id-type="doi">10.1002/lio2.1266</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1002/lio2.1266">https://doi.org/10.1002/lio2.1266</ext-link></mixed-citation>
      </ref>
      <ref id="R39">
        <label>39</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Sizo, A.</string-name>, <string-name>Lino, A.</string-name>, <string-name>Rocha, Á.</string-name>, &amp; <string-name>Reis, L. P.</string-name></person-group> (<year>2025</year>). <article-title>Defining quality in peer review reports: a scoping review</article-title>. <source>Knowledge and Information Systems</source>, <volume>67</volume>(<issue>8</issue>), <fpage>6413</fpage>–<lpage>6460</lpage>. <pub-id pub-id-type="doi">10.1007/s10115-025-02435-0</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1007/s10115-025-02435-0">https://doi.org/10.1007/s10115-025-02435-0</ext-link></mixed-citation>
      </ref>
      <ref id="R40">
        <label>40</label>
        <mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name>Tennant, J. P.</string-name></person-group> (<year>2018</year>). <article-title>The state of the art in peer review</article-title>. <source>FEMS Microbiology letters</source>, <volume>365</volume>(<issue>19</issue>). <pub-id pub-id-type="doi">10.1093/femsle/fny204</pub-id> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1093/femsle/fny204">https://doi.org/10.1093/femsle/fny204</ext-link></mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>
