Some measures for comparing citation databases |
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| Institution: | 1. Department of Information Science, Bar-Ilan University, Ramat Gan 52900, Israel;2. School of Computer Science and Information Systems, Birkbeck University of London, Malet Street, London WC1E 7HX, UK;1. Johns Hopkins University, USA;2. University of Padova, Italy;3. Carnegie Mellon University, USA;4. ETH Zürich, Switzerland;1. INQUINOA – CONICET, Instituto de Química Física, Facultad de Bioquímica, Química y Farmacia, Universidad Nacional de Tucumán, San Lorenzo 456, T4000CAN San Miguel de Tucumán, Argentina;2. INFIQC – CONICET, Departamento de Físico Química, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Ciudad Universitaria, X5000HUA Córdoba, Argentina;3. Instituto de Química Inorgánica, Facultad de Bioquímica, Química y Farmacia, Universidad Nacional de Tucumán, Ayacucho 471, 4000 San Miguel de Tucumán, Argentina;1. SCImago Group, Madrid, Spain;2. SCImago Group, Dept. Information and Communication, University of Extremadura, Badajoz, Spain;3. University Complutense of Madrid, Information Science Faculty, Dept. Information and Library Science, SCImago group. Spain;4. Sapienza University of Rome, Italy |
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| Abstract: | Citation analysis was traditionally based on data from the ISI Citation indexes. Now with the appearance of Scopus, and with the free citation tool Google Scholar methods and measures are need for comparing these tools. In this paper we propose a set of measures for computing the similarity between rankings induced by ordering the retrieved publications in decreasing order of the number of citations as reported by the specific tools. The applicability of these measures is demonstrated and the results show high similarities between the rankings of the ISI Web of Science and Scopus and lower similarities between Google Scholar and the other tools. |
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