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Title: Modeling the obsolescence of research literature in disciplinary journals through the age of their cited references
Authors: Dorta González, Pablo 
Gómez Déniz, Emilio 
UNESCO Clasification: 570106 Documentación
Keywords: Literature obsolescence
Literature aging
Long time impact
Citation distribution
Negative binomial distribution, et al
Issue Date: 2022
Project: Aportaciones A la Toma de Decisiones Bayesianas Óptimas: Aplicaciones Al Coste-Efectividad Con Datos Clínicos y Al Análisis de Riestos Con Datos Acturiales. 
Journal: Scientometrics 
Abstract: There are different citation habits in the research fields that influence the obsolescence of the research literature. We analyze the distinctive obsolescence of research literature in disciplinary journals in eight scientific subfields based on cited references distribution, as a synchronous approach. We use both negative binomial (NB) and Poisson distributions to capture this obsolescence. The corpus being examined is published in 2019 and covers 22,559 papers citing 872,442 references. Moreover, three measures to analyze the tail of the distribution are proposed: (i) cited reference survival rate, (ii) cited reference mortality rate, and (iii) cited reference percentile. These measures are interesting because the tail of the distribution collects the behavior of the citations at the time when the document starts to get obsolete in the sense that it is little cited (used). As main conclusion, the differences observed in obsolescence are so important even between disciplinary journals in the same subfield, that it would be necessary to use some measure for the tail of the citation distribution, such as those proposed in this paper, when analyzing in an appropriate way the long time impact of a journal.
ISSN: 0138-9130
DOI: 10.1007/s11192-022-04359-w
Source: Scientometrics [ISSN 0138-9130], Marzo 2022
Appears in Collections:Artículo preliminar
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