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The h‐index, h‐core citation rate and the bibliometric profile of the Web of Science database in three configurations

The h‐index, h‐core citation rate and the bibliometric profile of the Web of Science database in... Purpose – The purpose of this paper is to discuss the new version of the Web of Science (WoS) software. Design/methodology/approach – This paper discusses the new version of the Web of Science (WoS) software. Findings – The new version of the Web of Science (WoS) software released in mid‐2011 eliminated the 100,000‐record limit in the search results. This, in turn, makes it possible to study the bibliometric profile of the entire WoS database (which consists of 50 million unique records), and/or any subset licensed by a library. In addition the maximum record set for the automatic production of the informative citation report was doubled from 5,000 to 10,000 records. These are important developments for getting a realistic picture of WoS, and gauging the most widely used gauge. It also helps in comparing WoS with the Scopus database using traceable and reproducible quantitative measures, including the h‐index and its variants, the citation rate of the documents making up the h‐core (the set of records that contribute to the h‐index), and computing additional bibliometric indicators that can be used as proxies in evaluating the research performance of individuals, research groups, educational and research institutions as well as serial publications for the broadest subject areas and time span – although with some limitations and reservations. Originality/value – This paper, which attempts to describe some of the bibliometric traits of WoS in three different configurations (in terms of the composition and time span of the components licensed), complements the one published in a previous issue of Online Information Review profiling the Scopus database. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Online Information Review Emerald Publishing

The h‐index, h‐core citation rate and the bibliometric profile of the Web of Science database in three configurations

Online Information Review , Volume 35 (5): 13 – Sep 27, 2011

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References (41)

Publisher
Emerald Publishing
Copyright
Copyright © 2011 Emerald Group Publishing Limited. All rights reserved.
ISSN
1468-4527
DOI
10.1108/14684521111176525
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to discuss the new version of the Web of Science (WoS) software. Design/methodology/approach – This paper discusses the new version of the Web of Science (WoS) software. Findings – The new version of the Web of Science (WoS) software released in mid‐2011 eliminated the 100,000‐record limit in the search results. This, in turn, makes it possible to study the bibliometric profile of the entire WoS database (which consists of 50 million unique records), and/or any subset licensed by a library. In addition the maximum record set for the automatic production of the informative citation report was doubled from 5,000 to 10,000 records. These are important developments for getting a realistic picture of WoS, and gauging the most widely used gauge. It also helps in comparing WoS with the Scopus database using traceable and reproducible quantitative measures, including the h‐index and its variants, the citation rate of the documents making up the h‐core (the set of records that contribute to the h‐index), and computing additional bibliometric indicators that can be used as proxies in evaluating the research performance of individuals, research groups, educational and research institutions as well as serial publications for the broadest subject areas and time span – although with some limitations and reservations. Originality/value – This paper, which attempts to describe some of the bibliometric traits of WoS in three different configurations (in terms of the composition and time span of the components licensed), complements the one published in a previous issue of Online Information Review profiling the Scopus database.

Journal

Online Information ReviewEmerald Publishing

Published: Sep 27, 2011

Keywords: Databases; Research

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