How much does the expected number of citations for a publication change if it contains the address of a specific scientific institute? A new approach for the analysis of citation data on the institutional level based on regression models. (1st June 2015)

• Record Type: Journal Article
• Authors: Bornmann, Lutz
• Is Part Of: Journal of the Association for Information Science and Technology. Volume 67:Number 9(2016:Sep.)
• Page Start: 2274
• Page End: 2282
• Publication Date: 2015-06-01
• Subjects: Bibliometrics; Information science -- Periodicals; Information technology -- Periodicals; 020.5
• DOI: 10.1002/asi.23546
• Languages: English
• ISSNs: 2330-1635

Abstract

Abstract : Citation data for institutes are generally provided as numbers of citations or as relative citation rates (as, for example, in the Leiden Ranking). These numbers can then be compared between the institutes. This study aims to present a new approach for the evaluation of citation data at the institutional level, based on regression models. As example data, the study includes all articles and reviews from the Web of Science for the publication year 2003 ( n = 886, 416 papers). The study is based on an in‐house database of the Max Planck Society. The study investigates how much the expected number of citations for a publication changes if it contains the address of an institute. The calculation of the expected values allows, on the one hand, investigating how the citation impact of the papers of an institute appears in comparison with the total of all papers. On the other hand, the expected values for several institutes can be compared with one another or with a set of randomly selected publications. Besides the institutes, the regression models include factors which can be assumed to have a general influence on citation counts (e.g., the number of authors).