Empirical analysis and classification of database errors in Scopus and Web of Science
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. Using an automated procedure, we collected a large corpus of more than 10,000 errors in the two multidisciplinary databases Scopus and Web of Science (WoS), mainly including articles in the...
Paper Details
Title
Empirical analysis and classification of database errors in Scopus and Web of Science
Published Date
Nov 1, 2016
Journal
Volume
10
Issue
4
Pages
933 - 953
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