2016/11/16 by Lutz Bornmann, Robin Haunschild, Bornmann, Lutz +1
Computer Science · Decision Sciences · #Digital Libraries (cs.DL) #FOS: Computer and information sciences #cs.DL #scientometrics and bibliometrics research
paper · pdf · doi:10.48550/arxiv.1611.05206
6 pages with 1 table
arxiv created 2016/11/16 · openalex publication_date 2016/11/16 · arxiv updated 2016/11/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
PP(top x%) is the proportion of papers of a unit (e.g. an institution or a group of researchers), which belongs to the x% most frequently cited papers in the corresponding fields and publication years. It has been proposed that x% of papers can be expected which belongs to the x% most frequently cited papers. In this Letter to the Editor we will present the results of an empirical test whether we can really have this expectation and how strong the deviations from the expected values are when many random samples are drawn from the database.