December 22, 2024
Zohreh Zahedi

Zohreh Zahedi

Academic Rank: Assistant professor
Address: ,Department of Information Science, Faculty of Humanities Persian Gulf University, Bushehr
Degree: Ph.D in Information Science/Social media metrics (Altmetrics)
Phone: -
Faculty: Faculty of Humanities

Research

Title Mendeley readership as a filtering tool to identify highly cited publications
Type Article
Keywords
Mendeley readership scores; Journal citation scores; highly cited publications; precision‐recall analysis
Journal Journal of the Association for Information Science and Technology
DOI https://doi.org/10.1002/asi.23883
Researchers Zohreh Zahedi (First researcher) , Rodrigo Costas (Second researcher) , Paul Wouters (Third researcher)

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.