Journal article

Testing Google Scholar bibliographic data: Estimating error rates for Google Scholar citation parsing

Abstract:: We present some systematic tests of the quality of bibliographic data exports available from Google Scholar. While data quality is good for journal articles and conference proceedings, books and edited collections are often wrongly described or have incomplete data. We identify a particular problem with material from online repositories.

Publication status:: Published

Peer review status:: Peer reviewed

Actions

Email

Email this record

Send the bibliographic details of this record to your email address.

Your Email
Please enter the email address that the record information will be sent to.

-
Your message (optional)
Please add any additional information to be included within the email.
Cite

Cite this record

APA Style

Zeitlyn, D., & Beardmore-Herd, M. (2018). Testing Google Scholar bibliographic data: Estimating error rates for Google Scholar citation parsing. First Monday, 23(11).

MLA Style

Zeitlyn, D., and M. Beardmore-Herd. “Testing Google Scholar Bibliographic Data: Estimating Error Rates for Google Scholar Citation Parsing.” First Monday, vol. 23, no. 11, University of Illinois at Chicago Library, 2018.

Chicago Style

Zeitlyn, D, and M Beardmore-Herd. 2018. “Testing Google Scholar Bibliographic Data: Estimating Error Rates for Google Scholar Citation Parsing.” First Monday 23 (11).
Share
Print

Access Document

Files:: Zeitlyn et Beardmore-Herd, Testing Google Scholar.pdf

(Preview, Version of record, pdf, 76.5KB, Terms of use)

Publisher copy:: 10.5210/fm.v23i11.8658

Authors

+ Zeitlyn, D More by this author

Institution:: University of Oxford
Division:: SSD
Department:: SAME
Sub department:: Social & Cultural Anthropology
Role:: Author
ORCID:: 0000-0001-5853-7351

+ Beardmore-Herd, M More by this author

Institution:: University of Oxford
Division:: Social Sciences Division
Department:: Anthropology
Role:: Author

Publisher:: University of Illinois at Chicago Library
Journal:: First Monday More from this journal
Volume:: 23
Issue:: 11
Publication date:: 2018-11-05
Acceptance date:: 2018-08-07
DOI:: 10.5210/fm.v23i11.8658
EISSN:: 1396-0466
ISSN:: 1396-0458

Pubs id:: pubs:897028
UUID:: uuid:84c076fc-6257-4cba-8dec-fe94b62cff93
Local pid:: pubs:897028
Source identifiers:: 897028
Deposit date:: 2018-08-09

Terms of use

Copyright holder:: Zeitlyn et al
Copyright date:: 2018
Notes:: This paper is licensed under a Creative Commons Attribution 4.0 International License.

Licence:: CC Attribution (CC BY)

Views and Downloads

About views and downloads

If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP