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dc.contributor.authorThelwall, Mike
dc.date.accessioned2019-09-03T08:56:50Z
dc.date.available2019-09-03T08:56:50Z
dc.date.issued2019-12-31
dc.identifier.citationThelwall, M. (2019) Mendeley reader counts for US computer science conference papers and journal articles, Quantitative Science Studies 1 (1): 347–359en
dc.identifier.doi10.1162/qss_a_00010
dc.identifier.urihttp://hdl.handle.net/2436/622695
dc.description© 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-scienceen
dc.description.abstractAlthough 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.en
dc.formatapplication/PDFen
dc.language.isoenen
dc.publisherMIT Pressen
dc.relation.urlhttps://direct.mit.edu/qss/article/1/1/347/15566/Mendeley-reader-counts-for-US-computer-scienceen
dc.subjectMendeleyen
dc.subjectaltmetricsen
dc.subjectscientometricsen
dc.subjectcomputer scienceen
dc.subjectcomputingen
dc.subjectconference papersen
dc.titleMendeley reader counts for US computer science conference papers and journal articlesen
dc.typeJournal articleen
dc.identifier.eissn2641-3337
dc.identifier.journalQuantitative Science Studiesen
dc.date.updated2019-09-02T12:07:58Z
dc.date.accepted2019-09-02
rioxxterms.funderJiscen
rioxxterms.identifier.projectUOW030919MTen
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2019-12-31en
dc.source.volume1
dc.source.issue1
dc.source.beginpage347
dc.source.endpage359
refterms.dateFCD2019-09-03T08:56:12Z
refterms.versionFCDVoR
refterms.dateFOA2019-12-31T00:00:00Z


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