Based on an idea by Kosmulski, Franceschini et al. (2012, Scientometrics 92(3), 621–641) propose to classify a publication as “successful” when it receives more citations than a specific comparison term (CT). In the intention of the authors CT should be a suitable estimate of the number of citations that a publication – in a certain scientific context and period of time – should potentially achieve. According to this definition, the success-index is defined as the number of successful papers, among a group of publications examined, such as those associated to a scientist or a journal. In the first part of the paper, the successindex is recalled, discussing its properties and limitations. Next, relying on the theory of Information Production Processes (IPPs), an informetric model of the index is formulated, for a better comprehension of the index and its properties. Particular emphasis is given to a theoretical sensitivity analysis of the index.

An informetric model for the success-index / Franceschini, Fiorenzo; Galetto, Maurizio; Maisano, DOMENICO AUGUSTO FRANCESCO; Mastrogiacomo, Luca. - In: JOURNAL OF INFORMETRICS. - ISSN 1751-1577. - STAMPA. - 7:1(2013), pp. 109-116. [10.1016/j.joi.2012.09.008]

An informetric model for the success-index

FRANCESCHINI, FIORENZO;GALETTO, Maurizio;MAISANO, DOMENICO AUGUSTO FRANCESCO;MASTROGIACOMO, LUCA
2013

Abstract

Based on an idea by Kosmulski, Franceschini et al. (2012, Scientometrics 92(3), 621–641) propose to classify a publication as “successful” when it receives more citations than a specific comparison term (CT). In the intention of the authors CT should be a suitable estimate of the number of citations that a publication – in a certain scientific context and period of time – should potentially achieve. According to this definition, the success-index is defined as the number of successful papers, among a group of publications examined, such as those associated to a scientist or a journal. In the first part of the paper, the successindex is recalled, discussing its properties and limitations. Next, relying on the theory of Information Production Processes (IPPs), an informetric model of the index is formulated, for a better comprehension of the index and its properties. Particular emphasis is given to a theoretical sensitivity analysis of the index.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2505195
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