Citation analysis with microsoft academic

Details

Serval ID
serval:BIB_0A31D2143DF8
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Citation analysis with microsoft academic
Journal
Scientometrics
Author(s)
Hug Sven E., Ochsner Michael, Brändle Martin P.
ISSN
0138-9130
1588-2861
Publication state
Published
Issued date
04/2017
Peer-reviewed
Oui
Volume
111
Number
1
Pages
371-378
Language
english
Abstract
We explore if and how Microsoft Academic (MA) could be used for bibliometric analyses. First, we examine the Academic Knowledge API (AK API), an interface to access MA data, and compare it to Google Scholar (GS). Second, we perform a comparative citation analysis of researchers by normalizing data from MA and Scopus. We find that MA offers structured and rich metadata, which facilitates data retrieval, handling and processing. In addition, the AK API allows retrieving frequency distributions of citations. We consider these features to be a major advantage of MA over GS. However, we identify four main limitations regarding the available metadata. First, MA does not provide the document type of a publication. Second, the “fields of study” are dynamic, too specific and field hierarchies are incoherent. Third, some publications are assigned to incorrect years. Fourth, the metadata of some publications did not include all authors. Nevertheless, we show that an average-based indicator (i.e. the journal normalized citation score; JNCS) as well as a distribution-based indicator (i.e. percentile rank classes; PR classes) can be calculated with relative ease using MA. Hence, normalization of citation counts is feasible with MA. The citation analyses in MA and Scopus yield uniform results. The JNCS and the PR classes are similar in both databases, and, as a consequence, the evaluation of the researchers’ publication impact is congruent in MA and Scopus. Given the fast development in the last year, we postulate that MA has the potential to be used for full-fledged bibliometric analyses.
Keywords
General Social Sciences, Library and Information Sciences, Computer Science Applications
Web of science
Create date
11/01/2018 13:19
Last modification date
21/08/2019 5:15
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