Mendeley reader counts for US computer science conference papers and journal articles
Abstract
Although bibliometrics are normally applied to journal articles when used to support research evaluations, conference papers are at least as important in fast-moving computingrelated 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 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.Citation
Thelwall, M. (2019) Mendeley reader counts for US computer science conference papers and journal articles, Quantitative Science Studies 1 (1): 347–359Publisher
MIT PressJournal
Quantitative Science StudiesAdditional Links
https://direct.mit.edu/qss/article/1/1/347/15566/Mendeley-reader-counts-for-US-computer-scienceType
Journal articleLanguage
enDescription
© 2020 The Authors. Published by MIT Press. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://direct.mit.edu/qss/article/1/1/347/15566/Mendeley-reader-counts-for-US-computer-scienceEISSN
2641-3337ae974a485f413a2113503eed53cd6c53
10.1162/qss_a_00010
Scopus Count
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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0/