Tracing the context in disciplinary classifications: A bibliometric pairwise comparison of five classifications of journals in the social sciences and humanities
Despite the centrality of disciplinary classifications in bibliometric analyses, it is not well known how the choice of disciplinary classification influences bibliometric representations of research in the social sciences and humanities (SSH). This is especially crucial when using data from nationa...
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Published in | Quantitative science studies Vol. 2; no. 1; pp. 65 - 88 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
One Rogers Street, Cambridge, MA 02142-1209, USA
MIT Press
08.04.2021
MIT Press Journals, The The MIT Press |
Subjects | |
Online Access | Get full text |
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Summary: | Despite the centrality of disciplinary classifications in bibliometric analyses,
it is not well known how the choice of disciplinary classification influences
bibliometric representations of research in the social sciences and humanities
(SSH). This is especially crucial when using data from national databases.
Therefore, we examine the differences in the disciplinary profile of an article
along with the absolute and relative number of articles across disciplines using
five disciplinary classifications for journals. We use data on journal articles
(2006–2015) from the national bibliographic databases VABB-SHW in
Flanders (Belgium) and Cristin in Norway. Our study is based on pairwise
comparisons of the local classifications used in these databases, the Web of
Science subject categories, the Science-Metrix, and the ERIH PLUS journal
classifications. For comparability, all classifications are mapped to the OECD
Fields of Research and Development classification. The findings show that the
choice of disciplinary classification can lead to over- or underestimation of
the absolute number of publications per discipline. In contrast, if the focus is
on the relative numbers, the choice of classification has practically no
influence. These findings facilitate an informed choice of a disciplinary
classification for journals in SSH when using data from national databases. |
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Bibliography: | 2021 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 2641-3337 2641-3337 |
DOI: | 10.1162/qss_a_00110 |