The museum of errors/horrors in Scopus

Fiorenzo Franceschini, Domenico Maisano and Luca Mastrogiacomo

Journal of Informetrics, 2016, vol. 10, issue 1, 174-182

Abstract: Recent studies have shown that the Scopus bibliometric database is probably less accurate than one thinks. As a further evidence of this fact, this paper presents a structured collection of several weird typologies of database errors, which can therefore be classified as horrors. Some of them concern the incorrect indexing of so-called Online-First paper, duplicate publications, and the missing/incorrect indexing of references. A crucial point is that most of these errors could probably be avoided by adopting some basic data checking systems.

Keywords: Database errors; Database accuracy; Omitted citations; Scopus (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (29)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:10:y:2016:i:1:p:174-182

DOI: 10.1016/j.joi.2015.11.006

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