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Google Books, Scopus, Microsoft Academic, and Mendeley for impact assessment of doctoral dissertations

A multidisciplinary analysis of the UK

Bibliographic Data

ID21255979
AuthorsKayvan Kousha (0000-0003-4827-971X, University of Wolverhampton), Mike Thelwall (0000-0001-6065-205X, University of Wolverhampton)
Year2020
Volume1
Issue2
Pages479-504
Publication date2020-06-01
Open AccessYes
TypeARTICLE
VenueQuantitative Science Studies (JOURNAL)
Journal identifiersISSN: 2641-3337 • E-ISSN: 2641-3337
PublisherMIT Press (PUBLISHER • US)
DOI10.1162/qss_a_00042
OpenAlexW3013246928
LanguageEN
Citations received1
References cited48

A research doctorate normally culminates in publishing a dissertation reporting a substantial body of novel work. In the absence of a suitable citation index, this article explores the relative merits of alternative methods for the large-scale assessment of dissertation impact, using 150,740 UK doctoral dissertations from 2009–2018. Systematic methods for this were designed for Google Books, Scopus, Microsoft Academic, and Mendeley. Fewer than 1 in 8 UK doctoral dissertations had at least one Scopus (12%), Microsoft Academic (11%), or Google Books citation (9%), or at least one Mendeley reader (5%). These percentages varied substantially by subject area and publication year. Google Books citations were more common in the Arts and Humanities (18%), whereas Scopus and Microsoft Academic citations were more numerous in Engineering (24%). In the Social Sciences, Google Books (13%) and Scopus (12%) citations were important and in Medical Sciences, Scopus and Microsoft Academic citations to dissertations were rare (6%). Few dissertations had Mendeley readers (from 3% in Science to 8% in the Social Sciences) and further analysis suggests that Google Scholar finds more citations, but does not report information about all dissertations within a repository and is not a practical tool for large-scale impact assessment

Citation · Citation analysis · Citation impact · Library science · MEDLINE · Microsoft excel · Political science · Publishing · Scopus · World Wide Web · Academic Publishing and Open Access · Computer Science · Meta-analysis and systematic reviews · scientometrics and bibliometrics research

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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