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An EigenFactor-weighted power mean generalization of the Euclidean Index.
- Source :
- PLoS ONE; 2/25/2019, Vol. 14 Issue 2, p1-13, 13p
- Publication Year :
- 2019
-
Abstract
- This paper proposes a weighted generalization of the recently developed Euclidean Index. The weighting mechanism is designed to reflect the reputation of the journal within which an article appears. The weights are constructed using the Eigenfactor Article Influence percentiles scores. The rationale for assigning weights is that citations in more prestigious journals should be adjusted to logically reflect higher costs of production and higher vetting standards, and to partially counter several pragmatic issues surrounding truncated citation counts. Simulated and empirical demonstrations of the proposed approaches are included, which emphasize the flexibility and efficacy of the proposed generalization. [ABSTRACT FROM AUTHOR]
- Subjects :
- EIGENFACTOR
GENERALIZATION
INDUSTRIAL costs
CITATION analysis
PRAGMATICS
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 14
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- PLoS ONE
- Publication Type :
- Academic Journal
- Accession number :
- 134898411
- Full Text :
- https://doi.org/10.1371/journal.pone.0212760