January 24, 2021

New Preprint: Preprints as Accelerator of Scholarly Communication: An Empirical Analysis in Mathematics

The paper (preprint version) linked below was recently posted on arXiv.

Title

Preprints as Accelerator of Scholarly Communication: An Empirical Analysis in Mathematics

Authors

Zhiqi Wang
Dalian University of Technology, Dalian 116024, China
KU Leuven, Belgium

Yue Chen
Dalian University of Technology, Dalian 116024, China

Wolfgang Glänzel
Hungarian Academy of Sciences

Source

via arXiv

Note: “This is the preprint version submitted to journal. The paper has been published in Journal of Informetrics.”
Direct to Final Published Journal Version

Abstract

In this study we analyse the key driving factors of preprints in enhancing scholarly communication. To this end we use four groups of metrics, one referring to scholarly communication and based on bibliometric indicators (Web of Science and Scopus citations), while the others reflect usage (usage counts in Web of Science), capture (Mendeley readers) and social media attention (Tweets). Hereby we measure two effects associated with preprint publishing: publication delay and impact. We define and use several indicators to assess the impact of journal articles with previous preprint versions in arXiv.

Source: arXiv:2011.11940

In particular, the indicators measure several times characterizing the process of arXiv preprints publishing and the reviewing process of the journal versions, and the ageing patterns of citations to preprints. In addition, we compare the observed patterns between preprints and non-OA articles without any previous preprint versions in arXiv. We could observe that the “early-view” and “open-access” effects of preprints contribute to a measurable citation and readership advantage of preprints. Articles with preprint versions are more likely to be mentioned in social media and have shorter Altmetric attention delay. Usage and capture prove to have only moderate but stronger correlation with citations than Tweets. The different slopes of the regression lines between the different indicators reflect different order of magnitude of usage, capture and citation data.

Direct to Full Text Article (Preprint Version)
25 pages; PDF.

About Gary Price

Gary Price (gprice@mediasourceinc.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.

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