Can Microsoft Academic assess the early citation impact of in-press articles? A multi-discipline exploratory analysis

2.50
Hdl Handle:
http://hdl.handle.net/2436/621041
Title:
Can Microsoft Academic assess the early citation impact of in-press articles? A multi-discipline exploratory analysis
Authors:
Kousha, Kayvan ( 0000-0003-4827-971X ) ; Abdoli, Mahshid; Thelwall, Mike ( 0000-0001-6065-205X )
Abstract:
Many journals post accepted articles online before they are formally published in an issue. Early citation impact evidence for these articles could be helpful for timely research evaluation and to identify potentially important articles that quickly attract many citations. This article investigates whether Microsoft Academic can help with this task. For over 65,000 Scopus in-press articles from 2016 and 2017 across 26 fields, Microsoft Academic found 2-5 times as many citations as Scopus, depending on year and field. From manual checks of 1,122 Microsoft Academic citations not found in Scopus, Microsoft Academic’s citation indexing was faster but not much wider than Scopus for journals. It achieved this by associating citations to preprints with their subsequent in-press versions and by extracting citations from in-press articles. In some fields its coverage of scholarly digital libraries, such as arXiv.org, was also an advantage. Thus, Microsoft Academic seems to be a more comprehensive automatic source of citation counts for in-press articles than Scopus.
Publisher:
Elsevier
Journal:
Journal of Informetrics (Volume 12, Issue 1, February 2018, Pages 287–298)
Issue Date:
Feb-2018
URI:
http://hdl.handle.net/2436/621041
DOI:
10.1016/j.joi.2018.01.009
Additional Links:
https://www.sciencedirect.com/science/journal/17511577
Type:
Article
Language:
en
ISSN:
1751-1577
Appears in Collections:
Statistical Cybermetrics Research Group

Full metadata record

DC FieldValue Language
dc.contributor.authorKousha, Kayvanen
dc.contributor.authorAbdoli, Mahshiden
dc.contributor.authorThelwall, Mikeen
dc.date.accessioned2018-01-26T15:19:42Z-
dc.date.available2018-01-26T15:19:42Z-
dc.date.issued2018-02-
dc.identifier.issn1751-1577en
dc.identifier.doi10.1016/j.joi.2018.01.009-
dc.identifier.urihttp://hdl.handle.net/2436/621041-
dc.description.abstractMany journals post accepted articles online before they are formally published in an issue. Early citation impact evidence for these articles could be helpful for timely research evaluation and to identify potentially important articles that quickly attract many citations. This article investigates whether Microsoft Academic can help with this task. For over 65,000 Scopus in-press articles from 2016 and 2017 across 26 fields, Microsoft Academic found 2-5 times as many citations as Scopus, depending on year and field. From manual checks of 1,122 Microsoft Academic citations not found in Scopus, Microsoft Academic’s citation indexing was faster but not much wider than Scopus for journals. It achieved this by associating citations to preprints with their subsequent in-press versions and by extracting citations from in-press articles. In some fields its coverage of scholarly digital libraries, such as arXiv.org, was also an advantage. Thus, Microsoft Academic seems to be a more comprehensive automatic source of citation counts for in-press articles than Scopus.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttps://www.sciencedirect.com/science/journal/17511577en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMicrosoft Academicen
dc.subjectin-press articlesen
dc.subjectearly impacten
dc.subjectearly citationen
dc.subjectScopusen
dc.titleCan Microsoft Academic assess the early citation impact of in-press articles? A multi-discipline exploratory analysisen
dc.typeArticleen
dc.identifier.journalJournal of Informetrics (Volume 12, Issue 1, February 2018, Pages 287–298)en
dc.date.accepted2018-01-
rioxxterms.funderInternalen
rioxxterms.identifier.projectUoW260118en
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/CC BY-NC-ND 4.0en
rioxxterms.licenseref.startdate2019-02-03en
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