Who Reads Research Articles? An Altmetrics Analysis of Mendeley User Categories

被引:161
作者
Mohammadi, Ehsan [1 ]
Thelwall, Mike [1 ]
Haustein, Stefanie [2 ]
Lariviere, Vincent [2 ,3 ]
机构
[1] Wolverhampton Univ, Fac Sci & Engn, Stat Cybermetr Res Grp, Wolverhampton WV1 1LY, W Midlands, England
[2] Univ Montreal, Ecole Bibliothecon & Sci Informat, Montreal, PQ H3C 3J7, Canada
[3] Univ Quebec, CIRST, OST, Montreal, PQ H3C 3P8, Canada
关键词
webometrics; scientometrics; INFORMATION-SEEKING BEHAVIOR; CITATION ANALYSIS; SOCIAL-SCIENCES; IMPACT; ENGINEERS; PATTERNS; METRICS; PUBLICATIONS; INDICATORS; HUMANITIES;
D O I
10.1002/asi.23286
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Little detailed information is known about who reads research articles and the contexts in which research articles are read. Using data about people who register in Mendeley as readers of articles, this article explores different types of users of Clinical Medicine, Engineering and Technology, Social Science, Physics, and Chemistry articles inside and outside academia. The majority of readers for all disciplines were PhD students, postgraduates, and postdocs but other types of academics were also represented. In addition, many Clinical Medicine articles were read by medical professionals. The highest correlations between citations and Mendeley readership counts were found for types of users who often authored academic articles, except for associate professors in some sub-disciplines. This suggests that Mendeley readership can reflect usage similar to traditional citation impact if the data are restricted to readers who are also authors without the delay of impact measured by citation counts. At the same time, Mendeley statistics can also reveal the hidden impact of some research articles, such as educational value for nonauthor users inside academia or the impact of research articles on practice for readers outside academia.
引用
收藏
页码:1832 / 1846
页数:15
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