Coverage analysis of Scopus: A journal metric approach

descriptionPublicationkeyboard_double_arrow_right Article 10 Jul 2007 Spain English Publisher:Springer Science and Business Media LLCJournal:Scientometrics, volume 73, pages 53-78 (issn: 0138-9130, eissn: 1588-2861,

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Authors: Félix de Moya-Anegón; Zaida Chinchilla-Rodríguez; Benjamín Vargas-Quesada; Elena Corera-Álvarez; Francisco José Muñoz-Fernández; Antonio González-Molina; Victor Herrero Solana;

doi: 10.1007/s11192-007-1681-4

handle: 10261/76392

Coverage analysis of Scopus: A journal metric approach

- Summary
- Subjects
- Metrics

Abstract

Our aim is to compare the coverage of the Scopus database Scopus with that of Ulrich, to determine just how homogenous it is in the academic world. The variables taken into account were subject distribution, geographical distribution, distribution by publishers and the language of publication. The analysis of the coverage of a product of this nature should be done in relation to an accepted model, the optimal choice being Ulrich’s Directory, considered the international point of reference for the most comprehensive information on journals published throughout the world.

Moya-Anegón, F., Chinchilla-Rodríguez, Z., Vargas-Quesada, B., Corera-Álvarez, E., González-Molina, A., Muñoz-Fernández, F. J., Herrero-Solana, V. Coverage analysis of SCOPUS: a journal metric approach. Scientometrics 73 (1): 57-58, 2007. ISSN: 0138-9130. DOI:10.1007/s11192-007-1681-4

Peer reviewed

Country

Spain

Related Organizations

Keywords

Coverage Database, Scientometrics, Database Analysis, Scopus

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	255
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%