An analysis of backlink counts and Web Impact Factorsfor Chinese university websites

Qiu, Junping; Chen, Jingquan; Wang, Zhi

doi:10.1023/b:scie.0000034387.76981.83

Cited by 25 publications

(24 citation statements)

References 6 publications

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“…Within Information science, hyperlinks have been evaluated as impact indicators for universities within a country (Kousha & Horri, 2004;Qiu, Chen, & Wang, 2004;Smith, 1999;Thelwall, 2001;Vaughan & Thelwall, 2005), departments within a country (Li, Thelwall, Wilkinson, & Musgrove, 2005;Thomas & Willett, 2000) and individual research groups (Barjak & Thelwall, 2008). These studies found significant correlations between counts of links to universities or departments and measures of their research productivity.…”

Section: Link Analysismentioning

confidence: 94%

Journal impact evaluation: a webometric perspective

Thelwall

2012

Scientometrics

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Section: Link Analysismentioning

confidence: 94%

Journal impact evaluation: a webometric perspective

Thelwall

2012

Scientometrics

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“…One of the main webometric techniques is impact analysis: using web-based methods to estimate the online impact of documents (Kousha & Thelwall, 2007b;Kousha, Thelwall, & Rezaie, 2010;Vaughan & Shaw, 2005), journals (Smith, 1999;Vaughan & Shaw, 2003), digital repositories (Zuccala, Thelwall, Oppenheim, & Dhiensa, 2007), researchers (Barjak, Li, & Thelwall, 2007;Cronin & Shaw, 2002), research groups (Barjak & Thelwall, 2008), departments (Chen, Newman, Newman, & Rada, 1998;Li, Thelwall, Wilkinson, & Musgrove, 2005b), universities (Aguillo, 2009;Aguillo, Granadino, Ortega, & Prieto, 2006;Qiu, Chen, & Wang, 2004;Smith, 1999), and even countries (Ingwersen, 1998;Thelwall & Zuccala, 2008).…”

Section: Introductionmentioning

confidence: 99%

A comparison of methods for collecting web citation data for academic organizations

Thelwall

Sud

2011

J. Am. Soc. Inf. Sci.

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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 usingYahoo!.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.

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“…Webometric methods have been widely applied in Europe [12,13], and to a lesser extent in other continents such as Africa [14], Asia [15], and Australia [16], although one country-focused studies are prone to give more accurate results due to the greater likelihood that individual nation-states will have similar forms or contents of academic information, as previous findings have proved [17,18].…”

Section: Background and Review Of The Literaturementioning

confidence: 94%

Influence of the Academic Library on US University Reputation: A Webometric Approach

Orduña-Malea

Regazzi

2013

Technologies

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A previous study conducted through a survey of academic libraries at 100 US universities with the highest total expenditures on academic libraries according to data presented by the National Center for Education Statistics (NCES). The results pointed out an unexpectedly weak correlation among web variables, concluding that the complex online structure of US academic libraries was the main driver of this effect. The present study replicates this research applying the same web indicators but at the university level, to check whether the weak compactness among web indicators persists. Additionally, the percentage (in terms of web data) of academic libraries at universities is analyzed. Finally, the correlation among web and economic indicators (research expenditures, student population, and reputational rank position) for universities is calculated to check for a possible relationship. Results confirm a strong correlation among university web indicators. Otherwise, the strength of academic libraries at universities is moderate in terms of page count, but weak in terms of visits. Finally, the correlation among university web indicators and research expenditures depends on student population. OPEN ACCESS

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An analysis of backlink counts and Web Impact Factorsfor Chinese university websites

Cited by 25 publications

References 6 publications

Journal impact evaluation: a webometric perspective

Journal impact evaluation: a webometric perspective

A comparison of methods for collecting web citation data for academic organizations

Influence of the Academic Library on US University Reputation: A Webometric Approach

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