An EigenFactor-weighted power mean generalization of the Euclidean Index.

An EigenFactor-weighted power mean generalization of the Euclidean Index.

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...

Full description

Bibliographic Details
Main Author: M Ryan Haley
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0212760
id doaj-1ae98ca3c23b4ef0a355ac70803f7b11
record_format Article
spelling doaj-1ae98ca3c23b4ef0a355ac70803f7b112021-03-03T20:51:53ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01142e021276010.1371/journal.pone.0212760An EigenFactor-weighted power mean generalization of the Euclidean Index.M Ryan HaleyThis 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.https://doi.org/10.1371/journal.pone.0212760
collection DOAJ
language English
format Article
sources DOAJ
author M Ryan Haley
spellingShingle M Ryan Haley
An EigenFactor-weighted power mean generalization of the Euclidean Index.
PLoS ONE
author_facet M Ryan Haley
author_sort M Ryan Haley
title An EigenFactor-weighted power mean generalization of the Euclidean Index.
title_short An EigenFactor-weighted power mean generalization of the Euclidean Index.
title_full An EigenFactor-weighted power mean generalization of the Euclidean Index.
title_fullStr An EigenFactor-weighted power mean generalization of the Euclidean Index.
title_full_unstemmed An EigenFactor-weighted power mean generalization of the Euclidean Index.
title_sort eigenfactor-weighted power mean generalization of the euclidean index.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description 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.
url https://doi.org/10.1371/journal.pone.0212760
work_keys_str_mv AT mryanhaley aneigenfactorweightedpowermeangeneralizationoftheeuclideanindex
AT mryanhaley eigenfactorweightedpowermeangeneralizationoftheeuclideanindex
_version_ 1714820097268252672

Similar Items