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Comparison of Microsoft Academic (Graph) with Web of Science, Scopus and Google Scholar

Comparison of Microsoft Academic (Graph) with Web of Science, Scopus and Google Scholar
Comparison of Microsoft Academic (Graph) with Web of Science, Scopus and Google Scholar
The project aims to study the Microsoft Academic Graph, a scholarly citation database, by comparison with three competitors in the field: Web of Science, Scopus, and Google Scholar. Openness, transparency of data gathering and processing, and completeness of data including the global unique identifiers has been researched in each of the four datasets. The analysis has been conducted using a set of 75 institutional affiliations, 6 randomly selected authors from the and 639 documents published by these authors. The coverage of total research output in MAG of the six selected authors had reached 76.0%, hence being on-par with coverage of Google Scholar (76.2%) and significantly better than that of Scopus (66.5%) and Web of Science (58.8%). The overall results indicate that Microsoft Academic Graph can be an interesting source of information for bibliometric or scientometric analysis. However, no definite conclusions regarding the scope of MAG can be drawn due to the small size of the sample. Furthermore, problems with affiliation and author disambiguation in MAG have been highlighted. Finally, studies focusing on the disciplinary coverage of the datasets in greater detail are proposed.
microsoft academic, bibliographic databases, citation indexing
University of Southampton
Paszcza, Bartosz
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Paszcza, Bartosz
4c891abc-8dcb-45a7-8f43-dd6d145cc9b3
Carr, Leslie
0572b10e-039d-46c6-bf05-57cce71d3936
Frey, Jeremy
ba60c559-c4af-44f1-87e6-ce69819bf23f
Harnad, Stevan
442ee520-71a1-4283-8e01-106693487d8b

Paszcza, Bartosz (2016) Comparison of Microsoft Academic (Graph) with Web of Science, Scopus and Google Scholar. Electronics & Computer Science, Masters Thesis, 63pp.

Record type: Thesis (Masters)

Abstract

The project aims to study the Microsoft Academic Graph, a scholarly citation database, by comparison with three competitors in the field: Web of Science, Scopus, and Google Scholar. Openness, transparency of data gathering and processing, and completeness of data including the global unique identifiers has been researched in each of the four datasets. The analysis has been conducted using a set of 75 institutional affiliations, 6 randomly selected authors from the and 639 documents published by these authors. The coverage of total research output in MAG of the six selected authors had reached 76.0%, hence being on-par with coverage of Google Scholar (76.2%) and significantly better than that of Scopus (66.5%) and Web of Science (58.8%). The overall results indicate that Microsoft Academic Graph can be an interesting source of information for bibliometric or scientometric analysis. However, no definite conclusions regarding the scope of MAG can be drawn due to the small size of the sample. Furthermore, problems with affiliation and author disambiguation in MAG have been highlighted. Finally, studies focusing on the disciplinary coverage of the datasets in greater detail are proposed.

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paszcza comparison of MAG to other citation databases - Version of Record
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More information

Published date: 22 November 2016
Keywords: microsoft academic, bibliographic databases, citation indexing
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 408647
URI: http://eprints.soton.ac.uk/id/eprint/408647
PURE UUID: 257a5f7c-1b21-402e-a4e9-0e03e21342b4
ORCID for Bartosz Paszcza: ORCID iD orcid.org/0000-0001-6394-3573
ORCID for Leslie Carr: ORCID iD orcid.org/0000-0002-2113-9680
ORCID for Jeremy Frey: ORCID iD orcid.org/0000-0003-0842-4302
ORCID for Stevan Harnad: ORCID iD orcid.org/0000-0001-6153-1129

Catalogue record

Date deposited: 25 May 2017 04:03
Last modified: 26 Apr 2019 00:39

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