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Lecture notes in computer scienceScientific Communication & EducationPeer-reviewed journal article

The Impact of Preprints on the Citations of Journal Articles Related to COVID-19

Hiroyuki TsunodaiD, Yuan SuniD, M. NishizawaiD, Xiaomin LiuiD, Kou AmanoiD, Rie KominamiiD

PDFDOIPreprint

Abstract

To investigate the impact of preprints on the citation counts of COVID-19-related papers, this study compares the number of citations received by drafts initially distributed as preprints and later published in journals with those received by papers directly submitted to journals. The difference in the median number of citations between COVID-19 preprint-distributed papers and COVID-19 directly submitted papers published in 184 journals was tested using the Mann-Whitney U test. The results showed that 129 journals had a statistically significant higher median citation count for COVID-19 preprint-distributed papers compared to directly submitted papers, with a p-value of less than 0.05. In contrast, no journals had a statistically significant higher median citation count for COVID-19 directly submitted papers. This indicates that 70.11% of the journals that published preprint-distributed papers experienced a significant increase in citations. We also identified that among the 184 journals, 13 journals garnered a substantial number of citations. Among the 74,037 COVID-19 papers, preprint-distributed papers (9,028) accounted for only 12.19%. However, among the 2,015,997 citations received by COVID-19 papers, preprint-distributed papers garnered 542,715 citations, representing a substantial 26.92%. These results suggest that distributing preprints prior to formal publication may help COVID-19 research reach a wider audience, potentially leading to increased readership and citations.

Citations
2
FWCI
3.40
Field percentile
top 8%

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