{"title":"Does open identity of peer reviewers positively relate to citations?","authors":"Li Hou, Qiang Wu, Yundong Xie","doi":"10.1016/j.joi.2024.101489","DOIUrl":null,"url":null,"abstract":"<div><p>Referees play an essential role in the peer review process, significantly contributing to improving the quality of scholarly publications. In the context that the Open Science movement is gaining increasing attention and support, the open identity of peer reviewers has become a crucial aspect requiring more relevant research. To enhance the comprehension of the relatively unexplored phenomenon of publishing reviewer identities, this study investigates how such identification and the academic performance of reviewers identified in the acknowledgements of articles relate to these articles’ citations. Our sample comprises 1,120 articles within the field of Biological Sciences and published in <em>Nature</em> between 2016 and 2020. The publication and citation history for 787 identified reviewers were obtained from Scopus to measure their academic performance. Based on Negative Binomial Regression results, we found that the presence of at least one reviewer's identity is not statistically associated with citations, whereas articles with all reviewers’ identities published tend to receive fewer citations. However, our dataset supports a significant positive correlation between the academic performance of recognised reviewers and the citation impact of the articles they reviewed. These findings have significant implications for the scholarly community and publication policies.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1751157724000026/pdfft?md5=cfa6f5e1ad33b76b38792db2512e1327&pid=1-s2.0-S1751157724000026-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Informetrics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1751157724000026","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Referees play an essential role in the peer review process, significantly contributing to improving the quality of scholarly publications. In the context that the Open Science movement is gaining increasing attention and support, the open identity of peer reviewers has become a crucial aspect requiring more relevant research. To enhance the comprehension of the relatively unexplored phenomenon of publishing reviewer identities, this study investigates how such identification and the academic performance of reviewers identified in the acknowledgements of articles relate to these articles’ citations. Our sample comprises 1,120 articles within the field of Biological Sciences and published in Nature between 2016 and 2020. The publication and citation history for 787 identified reviewers were obtained from Scopus to measure their academic performance. Based on Negative Binomial Regression results, we found that the presence of at least one reviewer's identity is not statistically associated with citations, whereas articles with all reviewers’ identities published tend to receive fewer citations. However, our dataset supports a significant positive correlation between the academic performance of recognised reviewers and the citation impact of the articles they reviewed. These findings have significant implications for the scholarly community and publication policies.
期刊介绍:
Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.