Self-citation behavior within the health allied professions’ scientific sector in Italy: a bibliometric analysis
Stefano Vercelli,
Leonardo Pellicciari (),
Andrea Croci,
Cesare Maria Cornaggia,
Francesca Cecchi and
Daniele Piscitelli
Additional contact information
Stefano Vercelli: Institute of Veruno, IRCCS
Leonardo Pellicciari: IRCCS Fondazione Don Carlo Gnocchi
Andrea Croci: Private Practice
Cesare Maria Cornaggia: University of Milano Bicocca
Francesca Cecchi: IRCCS Fondazione Don Carlo Gnocchi
Daniele Piscitelli: University of Milano Bicocca
Scientometrics, 2023, vol. 128, issue 2, No 14, 1205-1217
Abstract:
Abstract National scientific qualification (NSQ) is a procedure to regulate access to Italian academic positions. An increased use of self-citations could favor the achievement of the minimum bibliometric requirements. The aim of this study was to retrospectively analyze the self-citing behavior of successful candidates who applied for the NSQ in the Allied Health Professions (AHP) scientific field. Bibliometric indexes of all candidates qualified in the three first sessions (2012, 2013, and 2016) were retrieved from the Scopus database. We developed a new index (ΔSCR) to detect changes in the candidate's habits based on the difference between the Self Citation Rate (SCR) in the year preceding NSQ and that of the previous 10 years. The Kruskal–Wallis test was used to analyze the ΔSCR between sessions. Multivariate regressions were run to investigate the relationship between ΔSCR and six independent factors. Differences in ΔSCR were found between 2012 and 2013 (p = 0.008), between 2013 and 2016 (p
Keywords: Academic productivity; Bibliometrics; Citation analysis; H-index; Physiotherapy; Rehabilitation (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11192-022-04599-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:128:y:2023:i:2:d:10.1007_s11192-022-04599-w
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-022-04599-w
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().