Empirical analysis and classification of database errors in Scopus and Web of Science

Fiorenzo Franceschini, Domenico Maisano and Luca Mastrogiacomo

Journal of Informetrics, 2016, vol. 10, issue 4, 933-953

Abstract: In the last decade, a growing number of studies focused on the qualitative/quantitative analysis of bibliometric-database errors. Most of these studies relied on the identification and (manual) examination of relatively limited samples of errors.

Keywords: Data accuracy; Database error; Omitted citation; Error classification; Phantom citation; Scopus; Web of Science (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (49)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:10:y:2016:i:4:p:933-953

DOI: 10.1016/j.joi.2016.07.003

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