Stata commands for importing bibliometric data and processing author address information |
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| Authors: | Lutz Bornmann Adam Ozimek |
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| Institution: | 1. Max Planck Society, Administrative Headquarters, Hofgartenstr. 8, 80539 Munich, Germany;2. Econsult Corporation, 1435 Walnut Street, Suite 300, Philadelphia, PA 19102, United States;1. University of West Bohemia, Department of Computer Science and Engineering, Univerzitní 8, 30614 Plzeň, Czech Republic;2. University of Ljubljana, Faculty of Computer and Information Science, Ve?na pot 113, 1000 Ljubljana, Slovenia;1. Department of Computer Science & Engineering, Indian Institute of Technology, Kharagpur 721302, India;2. Microsoft Corporation, Bellevue, WA, United States;1. Max Planck Institute for Solid State Research, Heisenbergstr. 1, 70569 Stuttgart, Germany;2. Division for Science and Innovation Studies, Administrative Headquarters of the Max Planck Society, Hofgartenstr. 8, 80539 Munich, Germany;1. School of Public Health, Taipei Medical University, 250 Wu-Hsing Street, Taipei 11014, Taiwan;2. Trend Research Centre, Asia University, 500, Lioufeng Road, Wufeng, Taichung County 41354, Taiwan;1. School of Library and Information Science, Indiana University, Bloomington, IN, USA;2. School of Informatics and Computing, Indiana University, Bloomington, IN, USA;3. Department of Computer Science and Technology, Tsinghua University, Beijing, China |
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| Abstract: | Given the recent trend in bibliometrics and information science to use increasingly complex statistical methods, it is necessary to have powerful toolboxes to work with data from Web of Science (Thomson Reuters). We developed such a toolbox with four specific commands for the statistical software package Stata. These commands refer to (1) the import of downloads from Web of Science to Stata, (2) the preprocessing of address information from authors of publications in the downloaded set, (3) the geocoding of address information, and (4) the calculation of the minimum and maximum distance between several co-authors of a single paper. An advantage of developing commands for an established and comprehensive statistical software package (like Stata) is that a large number of further commands are available for the analysis of bibliometric data. We will describe some of these useful commands as well. |
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