Mendeley readership as a filtering tool to identify highly cited publications. (3rd July 2017)

• Record Type: Journal Article
• Authors: Zahedi, Zohreh; Costas, Rodrigo; Wouters, Paul
• Is Part Of: Journal of the Association for Information Science and Technology. Volume 68:Number 10(2017:Oct.)
• Page Start: 2511
• Page End: 2521
• Publication Date: 2017-07-03
• Subjects: Information science -- Periodicals; Information technology -- Periodicals; 020.5
• DOI: 10.1002/asi.23883
• Languages: English
• ISSNs: 2330-1635

Abstract

Abstract : This study presents a large‐scale analysis of the distribution and presence of Mendeley readership scores over time and across disciplines. We study whether Mendeley readership scores (RS) can identify highly cited publications more effectively than journal citation scores (JCS). Web of Science (WoS) publications with digital object identifiers (DOIs) published during the period 2004–2013 and across five major scientific fields were analyzed. The main result of this study shows that RS are more effective (in terms of precision/recall values) than JCS to identify highly cited publications across all fields of science and publication years. The findings also show that 86.5% of all the publications are covered by Mendeley and have at least one reader. Also, the share of publications with Mendeley RS is increasing from 84% in 2004 to 89% in 2009, and decreasing from 88% in 2010 to 82% in 2013. However, it is noted that publications from 2010 onwards exhibit on average a higher density of readership versus citation scores. This indicates that compared to citation scores, RS are more prevalent for recent publications and hence they could work as an early indicator of research impact. These findings highlight the potential and value of Mendeley as a tool for scientometric purposes and particularly as a relevant tool to identify highly cited publications.