2.50
Hdl Handle:
http://hdl.handle.net/2436/621067
Title:
Could scientists use Altmetric.com scores to predict longer term citation counts?
Authors:
Thelwall, Mike ( 0000-0001-6065-205X ) ; Nevill, Tamara
Abstract:
Altmetrics from Altmetric.com are widely used by publishers and researchers to give earlier evidence of attention than citation counts. This article assesses whether Altmetric.com scores are reliable early indicators of likely future impact and whether they may also reflect non-scholarly impacts. A preliminary factor analysis suggests that the main altmetric indicator of scholarly impact is Mendeley reader counts, with weaker news, informational and social network discussion/promotion dimensions in some fields. Based on a regression analysis of Altmetric.com data from November 2015 and Scopus citation counts from October 2017 for articles in 30 narrow fields, only Mendeley reader counts are consistent predictors of future citation impact. Most other Altmetric.com scores can help predict future impact in some fields. Overall, the results confirm that early Altmetric.com scores can predict later citation counts, although less well than journal impact factors, and the optimal strategy is to consider both Altmetric.com scores and journal impact factors. Altmetric.com scores can also reflect dimensions of non-scholarly impact in some fields.
Citation:
Could scientists use Altmetric.com scores to predict longer term citation counts? 2018, 12 (1):237 Journal of Informetrics
Publisher:
Elsevier
Journal:
Journal of Informetrics, Volume 12, Issue 1, February 2018, Pages 237–248
Issue Date:
Feb-2018
URI:
http://hdl.handle.net/2436/621067
DOI:
10.1016/j.joi.2018.01.008
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S1751157717303905
Type:
Article
Language:
en
ISSN:
1751-1577
Appears in Collections:
Statistical Cybermetrics Research Group

Full metadata record

DC FieldValue Language
dc.contributor.authorThelwall, Mikeen
dc.contributor.authorNevill, Tamaraen
dc.date.accessioned2018-02-01T12:54:54Z-
dc.date.available2018-02-01T12:54:54Z-
dc.date.issued2018-02-
dc.identifier.citationCould scientists use Altmetric.com scores to predict longer term citation counts? 2018, 12 (1):237 Journal of Informetricsen
dc.identifier.issn1751-1577en
dc.identifier.doi10.1016/j.joi.2018.01.008-
dc.identifier.urihttp://hdl.handle.net/2436/621067-
dc.description.abstractAltmetrics from Altmetric.com are widely used by publishers and researchers to give earlier evidence of attention than citation counts. This article assesses whether Altmetric.com scores are reliable early indicators of likely future impact and whether they may also reflect non-scholarly impacts. A preliminary factor analysis suggests that the main altmetric indicator of scholarly impact is Mendeley reader counts, with weaker news, informational and social network discussion/promotion dimensions in some fields. Based on a regression analysis of Altmetric.com data from November 2015 and Scopus citation counts from October 2017 for articles in 30 narrow fields, only Mendeley reader counts are consistent predictors of future citation impact. Most other Altmetric.com scores can help predict future impact in some fields. Overall, the results confirm that early Altmetric.com scores can predict later citation counts, although less well than journal impact factors, and the optimal strategy is to consider both Altmetric.com scores and journal impact factors. Altmetric.com scores can also reflect dimensions of non-scholarly impact in some fields.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S1751157717303905en
dc.rightsArchived with thanks to Journal of Informetricsen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAltmetricsen
dc.subjectAltmetric.comen
dc.subjectcitation analysisen
dc.titleCould scientists use Altmetric.com scores to predict longer term citation counts?en
dc.typeArticleen
dc.identifier.journalJournal of Informetrics, Volume 12, Issue 1, February 2018, Pages 237–248en
dc.date.accepted2018-01-
rioxxterms.funderInternalen
rioxxterms.identifier.projectUoW010218MTen
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/CC BY-NC-ND 4.0en
rioxxterms.licenseref.startdate2019-02-01en
This item is licensed under a Creative Commons License
Creative Commons
All Items in WIRE are protected by copyright, with all rights reserved, unless otherwise indicated.