Butler L, Visser MS "Extending citation analysis to non-source items " Scientometrics 66(2): 327-343, January 2006

Eugene Garfield garfield at CODEX.CIS.UPENN.EDU
Thu Jun 29 14:44:49 EDT 2006


E-mail Addresses: linda.butler at anu.edu.au

Title: Extending citation analysis to non-source items

Author(s): Butler L, Visser MS

Source: SCIENTOMETRICS 66 (2): 327-343 JAN 2006

Document Type: Article
Language: English
Cited References: 10      Times Cited: 1

Abstract:
This paper reports the first results of the extension of citation analysis
to 'non-source' items, which is one strand of an extensive study of
quantitative performance indicators used in the assessment of research. It
would be presumptuous to draw firm conclusions from this first foray into
the realm of non-source citations, however our analysis is based on an
extensive experimental database of over 30,000 publications, so the results
can be viewed as strong pointers to possible generalised outcomes. We show
that it is possible to mine ISI databases for references to a comprehensive
oeuvre of items from whole institutions. Many types of publications are
visible in the ISI data - books, book chapters, journals not indexed by
ISI, and some conference publications. When applied to the assessment of
university departments, they can have a significant effect on rankings,
though this does not follow in all cases. The investment of time, effort,
and money in a significantly extended analysis will not be equally
beneficial in all fields. However, a considerable amount of testing is
required to confirm our initial results.


Addresses: Butler L (reprint author), Australian Natl Univ, Res Sch Social
Sci, Res Evaluat & Policy Project, Canberra, ACT Australia
Australian Natl Univ, Res Sch Social Sci, Res Evaluat & Policy Project,
Canberra, ACT Australia
Leiden Univ, Ctr Sci & Technol Studies CWTS, Leiden, Netherlands

E-mail Addresses: linda.butler at anu.edu.au

Publisher: SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
Subject Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;
INFORMATION SCIENCE & LIBRARY SCIENCE
IDS Number: 002IA
ISSN: 0138-9130


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