Thelwall M, Sud P "A Comparison of Methods for Collecting Web Citation Data for Academic Organizations " JASIST 62(8):1488-1497, August 2011
Eugene Garfield
garfield at CODEX.CIS.UPENN.EDU
Thu Aug 25 14:11:09 EDT 2011
E-mail Address: m.thelwall at wlv.ac.uk, p.sud at wlv.ac.uk
TITLE ; A Comparison of Methods for Collecting Web Citation Data for
Academic Organizations
Author(s): Thelwall, M (Thelwall, Mike)1; Sud, P (Sud, Pardeep)1
Source: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
AND TECHNOLOGY Volume: 62 Issue: 8 Pages: 1488-1497
DOI: 10.1002/asi.21571 Published: AUG 2011
Times Cited: 0 (from Web of Science)
Cited References: 72 [ view related records ] Citation Map
Abstract:
The primary webometric method for estimating the online impact of an
organization is to count links to its website. Link counts have been available
from commercial search engines for over a decade but this was set to end by
early 2012 and so a replacement is needed. This article compares link counts
to two alternative methods: URL citations and organization title mentions.
New variations of these methods are also introduced. The three methods are
compared against each other using Yahoo!. Two of the three methods (URL
citations and organization title mentions) are also compared against each
other using Bing. Evidence from a case study of 131 UK universities and 49
US Library and Information Science (LIS) departments suggests that Bing's
Hit Count Estimates (HCEs) for popular title searches are not useful for
webometric research but that Yahoo!'s HCEs for all three types of search and
Bing's URL citation HCEs seem to be consistent. For exact URL counts the
results of all three methods in Yahoo! and both methods in Bing are also
consistent. Four types of accuracy factors are also introduced and defined:
search engine coverage, search engine retrieval variation, search engine
retrieval anomalies, and query polysemy.
Document Type: Article
Language: English
Reprint Address: Thelwall, M (reprint author), Wolverhampton Univ, Sch
Technol, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1SB, W
Midlands, England
Addresses:
1. Wolverhampton Univ, Sch Technol, Stat Cybermetr Res Grp,
Wolverhampton WV1 1SB, W Midlands, England
E-mail Address: m.thelwall at wlv.ac.uk, p.sud at wlv.ac.uk
Publisher: WILEY-BLACKWELL, COMMERCE PLACE, 350 MAIN ST, MALDEN
02148, MA USA
Web of Science Category: Computer Science, Information Systems;
Information Science & Library Science
Subject Category: Computer Science; Information Science & Library Science
IDS Number: 796PM
ISSN: 1532-2882
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