Mendeley reader counts for US computer science conference papers and journal articles

被引：15
|
作者：
Thelwall, Mike [1 ]
机构：
[1] Univ Wolverhampton, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1LY, England
来源：
QUANTITATIVE SCIENCE STUDIES | 2020年 / 1卷 / 01期
关键词：
altmetrics; Mendeley; scientometrics; computer science; computing; conference papers; SOCIAL BOOKMARKING; CITATION ANALYSIS; IMPACT; INFORMATION; INDICATORS; LIBRARY; WEB; DISTRIBUTIONS; METRICS; LEVEL;
D O I：
10.1162/qss_a_00010
中图分类号：
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号：
1205 ; 120501 ;
摘要：
Although bibliometrics are normally applied to journal articles when used to support research evaluations, conference papers are at least as important in fast-moving computing-related fields. It is therefore important to assess the relative advantages of citations and altmetrics for computing conference papers to make an informed decision about which, if any, to use. This paper compares Scopus citations with Mendeley reader counts for conference papers and journal articles that were published between 1996 and 2018 in 11 computing fields and that had at least one US author. The data showed high correlations between Scopus citation counts and Mendeley reader counts in all fields and most years, but with few Mendeley readers for older conference papers and few Scopus citations for new conference papers and journal articles. The results therefore suggest that Mendeley reader counts have a substantial advantage over citation counts for recently published conference papers due to their greater speed, but are unsuitable for older conference papers.
引用
收藏
页码：347 / 359
页数：13
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