Correlating article citedness and journal impact: an empirical investigation by field on a large-scale dataset.

Autor/inn/en	Abramo, Giovanni; D’Angelo, Ciriaco Andrea; Di Costa, Flavia
Titel	Correlating article citedness and journal impact: an empirical investigation by field on a large-scale dataset.
Quelle	In: Scientometrics, (2023) 3, S.1877-1894 PDF als Volltext Verfügbarkeit
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0138-9130
DOI	10.1007/s11192-022-04622-0
Schlagwörter	Article impact; Journal impact factor; WoS; Bibliometrics; Skewness; Scientific publishing; Italy
Abstract	Abstract In spite of previous research demonstrating the risks involved, and counsel against the practice as early as 1997, some research evaluations continue to use journal impact alone as a surrogate of the number of citations of hosted articles to assess the latter’s impact. Such usage is also taken up by research administrators and policy-makers, with very serious implications. The aim of this work is to investigate the correlation between the citedness of a publication and the impact of the host journal. We extend the analyses of previous literature to all STEM fields. Then we also aim to assess whether this correlation varies across fields and is stronger for highly cited authors than for lowly cited ones. Our dataset consists of a total of almost one million authorships of 2010–2019 publications authored by about 28,000 professors in 230 research fields. Results show a low correlation between the two indicators, more so for lowly cited authors as compared to highly cited ones, although differences occur across fields.
Erfasst von	OLC
Update	2023/2/05