Wen Peng , Mingliang Yue , Mingyue Sun , Tingcan Ma
{"title":"Revision and academic impact: A case study of bioRxiv preprint papers","authors":"Wen Peng , Mingliang Yue , Mingyue Sun , Tingcan Ma","doi":"10.1016/j.joi.2023.101484","DOIUrl":null,"url":null,"abstract":"<div><p>Scientific papers are the essential carrier for disseminating knowledge in the scientific communication system. It is believed that in addition to deepening the scientific attainments in one's research field, the writing and revision of the manuscripts are also very important. This paper tries to quantitatively describe the revision process and the relationship between revision and academic impact. We acquire the different manuscript versions of the published scientific papers from bioRxiv platform, analyze the characteristics of the time (away from publication) and location (sections) of paper revisions, and explore the correlation between revision and impact using multiple linear regression. We find that 75 % or more of revisions occur within one year before publication, and 40 % or more of revisions take place in the last 3 months, which illustrates to a certain extent the importance of expert review in revising (and improving) research papers. Further, we find that the revision degree of papers has a significant correlation with academic impact, and elaborate revision of introduction plays a major role in acquiring academic impact for a research paper. We believe our results can provide a basis for guiding authors to enhance the academic impact of papers through scientific writing, and provide clues for the development of journal publishers and preprint platforms from the perspective of paper quality control and influence improvement.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2023-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1751157723001098/pdfft?md5=4ca0a83786168e457423fc94c8f4e52c&pid=1-s2.0-S1751157723001098-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Informetrics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1751157723001098","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
Scientific papers are the essential carrier for disseminating knowledge in the scientific communication system. It is believed that in addition to deepening the scientific attainments in one's research field, the writing and revision of the manuscripts are also very important. This paper tries to quantitatively describe the revision process and the relationship between revision and academic impact. We acquire the different manuscript versions of the published scientific papers from bioRxiv platform, analyze the characteristics of the time (away from publication) and location (sections) of paper revisions, and explore the correlation between revision and impact using multiple linear regression. We find that 75 % or more of revisions occur within one year before publication, and 40 % or more of revisions take place in the last 3 months, which illustrates to a certain extent the importance of expert review in revising (and improving) research papers. Further, we find that the revision degree of papers has a significant correlation with academic impact, and elaborate revision of introduction plays a major role in acquiring academic impact for a research paper. We believe our results can provide a basis for guiding authors to enhance the academic impact of papers through scientific writing, and provide clues for the development of journal publishers and preprint platforms from the perspective of paper quality control and influence improvement.
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.