A principal component analysis of 39 scientific impact measures.

<h4>Background</h4>The impact of scientific publications has traditionally been expressed in terms of citation counts. However, scientific activity has moved online over the past decade. To better capture scientific impact in the digital era, a variety of new impact measures has been pro...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Johan Bollen, Herbert Van de Sompel, Aric Hagberg, Ryan Chute
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2009
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1c75268bc9f34f36be4b104fd90c5bf8
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:1c75268bc9f34f36be4b104fd90c5bf8
record_format	dspace
spelling	oai:doaj.org-article:1c75268bc9f34f36be4b104fd90c5bf82021-11-25T06:21:51ZA principal component analysis of 39 scientific impact measures.1932-620310.1371/journal.pone.0006022https://doaj.org/article/1c75268bc9f34f36be4b104fd90c5bf82009-06-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19562078/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>The impact of scientific publications has traditionally been expressed in terms of citation counts. However, scientific activity has moved online over the past decade. To better capture scientific impact in the digital era, a variety of new impact measures has been proposed on the basis of social network analysis and usage log data. Here we investigate how these new measures relate to each other, and how accurately and completely they express scientific impact.<h4>Methodology</h4>We performed a principal component analysis of the rankings produced by 39 existing and proposed measures of scholarly impact that were calculated on the basis of both citation and usage log data.<h4>Conclusions</h4>Our results indicate that the notion of scientific impact is a multi-dimensional construct that can not be adequately measured by any single indicator, although some measures are more suitable than others. The commonly used citation Impact Factor is not positioned at the core of this construct, but at its periphery, and should thus be used with caution.Johan BollenHerbert Van de SompelAric HagbergRyan ChutePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 4, Iss 6, p e6022 (2009)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Johan Bollen Herbert Van de Sompel Aric Hagberg Ryan Chute A principal component analysis of 39 scientific impact measures.
description	<h4>Background</h4>The impact of scientific publications has traditionally been expressed in terms of citation counts. However, scientific activity has moved online over the past decade. To better capture scientific impact in the digital era, a variety of new impact measures has been proposed on the basis of social network analysis and usage log data. Here we investigate how these new measures relate to each other, and how accurately and completely they express scientific impact.<h4>Methodology</h4>We performed a principal component analysis of the rankings produced by 39 existing and proposed measures of scholarly impact that were calculated on the basis of both citation and usage log data.<h4>Conclusions</h4>Our results indicate that the notion of scientific impact is a multi-dimensional construct that can not be adequately measured by any single indicator, although some measures are more suitable than others. The commonly used citation Impact Factor is not positioned at the core of this construct, but at its periphery, and should thus be used with caution.
format	article
author	Johan Bollen Herbert Van de Sompel Aric Hagberg Ryan Chute
author_facet	Johan Bollen Herbert Van de Sompel Aric Hagberg Ryan Chute
author_sort	Johan Bollen
title	A principal component analysis of 39 scientific impact measures.
title_short	A principal component analysis of 39 scientific impact measures.
title_full	A principal component analysis of 39 scientific impact measures.
title_fullStr	A principal component analysis of 39 scientific impact measures.
title_full_unstemmed	A principal component analysis of 39 scientific impact measures.
title_sort	principal component analysis of 39 scientific impact measures.
publisher	Public Library of Science (PLoS)
publishDate	2009
url	https://doaj.org/article/1c75268bc9f34f36be4b104fd90c5bf8
work_keys_str_mv	AT johanbollen aprincipalcomponentanalysisof39scientificimpactmeasures AT herbertvandesompel aprincipalcomponentanalysisof39scientificimpactmeasures AT arichagberg aprincipalcomponentanalysisof39scientificimpactmeasures AT ryanchute aprincipalcomponentanalysisof39scientificimpactmeasures AT johanbollen principalcomponentanalysisof39scientificimpactmeasures AT herbertvandesompel principalcomponentanalysisof39scientificimpactmeasures AT arichagberg principalcomponentanalysisof39scientificimpactmeasures AT ryanchute principalcomponentanalysisof39scientificimpactmeasures
_version_	1718413789299212288

A principal component analysis of 39 scientific impact measures.

Ejemplares similares