figshare
Browse
complete_data.pdf (289.8 kB)

How much does the expected number of citations for a publication change if it contains the address of a specific scientific institution? A new approach for the analysis of citation data on the institutional level based on regression models

Download (0 kB)
journal contribution
posted on 2015-03-10, 16:06 authored by Lutz BornmannLutz Bornmann

Citation data for institutions 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 institutions. This study aims to present a new approach for the evaluation of citation data on the institutional level, based on regression models. As example data, the study includes all articles and reviews from 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).

History

Usage metrics

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC