GOOGLE SCHOLAR AND ISI WOS COMPARED A USER PERSPECTIVE - SUSANNE MIKKI UNIVERSITY OF BERGEN LIBRARY
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Database policies • WoS has a thorough journal selection process based on • quality of citation data (metadata), • publication standards • expert judgements • regular appearances – more than 7000 journals (peer reviewed), most English language – few books, proceedings … – metadata is carefully controlled • Google Scholar samples a wider variety of publications. Its collection is based on agreements of use with • journal publishers • database vendors • scholarly societies – metadata is either offered by its partners or automatic recognized by its software
Google Scholar criticisms • Google Scholar include (P. Jacsó, 2006). – non-scholarly sources – incomplete content – items apparently not matching the search expression – inflated search results, • due to not exact matches • insufficient grouping • Criticism is related to – inaccurate notification of content – inefficient use of metadata.
Google Scholar and the users • Students are enabled to retrieve full text peer-reviewed documents, relevant for their assignment (Haya et al., 2007) • Advanced researchers extensively use Google (Scholar) for searching. – offers easier access to full text than many library provided portals do (Haya et al., 2007; Webb, Gannon-Leary, & Bent, 2007, pp. 18-20). – academic researchers use cited reference searching or known author searching rather than a keyword approach to cover their information need (Booth 2007) – Researchers perform simple, aimless, unstructured searches (Haglund 2008) – However, researchers IL behaviour bypasses a thorough research, following established ideas (Evans 2008) • With online searching, especially googling a new paradigm has established (Drewry 2007) Teaching is wider than instructing search techniques for locating information. It involves a deeper awareness about the services and how they affect science.
Why comparing Google Scholar with WoS • WoS is the most recognized proprietary database for peer reviewed journal content • Google Scholar and WoS are similar – multidisciplinary – include citation data – export of references – full-text linking
GS – Advanced Scholar Search
Of about 1840 Book at the top Publication original published in Science RE Garfield - namesake?
Results 1528
Characteristic features for Google Scholar: • Results are over-reported • Books receive high citation counts (J. Bar-Ilan, Levene, & Lin, 2007) • Citation counts are similar for Google Scholar and WoS • Elderly articles not posted on the web, are not likely to be indexed (Neuhaus et al., 2006; Pauly & Stergiou, 2005; Walters, 2007) • Lack of content from certain publishers, here Science (Jacsó, 2008; Neuhaus et al., 2006)
Databases compared • Overlap • Coverage (recall) • Ranking • Citation metrics
Neuhaus et al. 2006 The Depth and Breadth of Google Scholar: An Empirical Study Samples of 50 randomly selected titles were drawn from 47 databases.
NP Research impact studies • Based on the number of – publications – citations. • Typical measures – mean citation counts – h-index. “A scientist has index h if h of his or her Np papers have at least h citations each and the other (Np-h) papers have h citations each” – ranking (Spearman’s footrule) • GS and WoS keep track of data useable for scientometric evaluation and ranking.
Statistics are based on Google Scholar search results Items for rank > 997 ignored h-index = 46 (32)
Impact measures - Findings The two services return • similar citation counts • similar h-indexes • similar rankings (Spearman’s footrule about 0.8) Similarities depend on publication practice of subject discipline Results may differ considerable from average measures. For single scientist measures may even be opposite.
Implications for teaching – Citation data are available – Citation metrics are useful for evaluating sources – Metrics are used for performance measures – They influence researchers’ behaviour and research as so To construct an awareness about the data stored in the databases, will contribute to a wider understanding of information literacy.
Results of a study conducted earlier this year (Mikki, forthcoming) • 29 (26) researchers from earth sciences mainly related to UoB • Searched for names in author field • Complete result list stored – Exported from WoS to EN – Cut and pasted from GS to MS Excel • Data cleansing – Automatic ignorance of blank spaces and special characters – Cleansing some data manually • Compare titles using Matlab (max first 50 characters)
Summing up Comparative findings • WoS holds its status as the most trustful database – Comprehensive citation metrics (under-reported) – Advanced search features – Satisfactory export features – Linkage to library holdings • GS is a useful supplement with similar services – High degree of overlap (not all disciplines) – Similar citation counts and impact metrics (over-reported) – offers search features (poor) – offers export features (poor) – Linkage to library holdings (few clicks) Relevance for teaching • Build up an awareness about the services, their purpose, strength and weakness • Pass on the knowledge to the users – Citation data are available – Citation metrics are useful for evaluating sources – Metrics are used for performance measures – They influence researchers’ behaviour and research as so
Author’s references • Mikki (forthcoming), Comparing Google Scholar and ISI Web of Science for Earth Sciences. Submitted and accepted to Scientometrics. • Mikki (forthcoming), Google Scholar compared to Web of Science. A literature review. Submitted to NORIL • Susanne.mikki@ub.uib.no
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