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Scite.ai Review: By Amy Fry Associate Professor, E-Resources Management Librarian, Acquisitions & Cataloging Services, University of Illinois at Urbana-Champaign, Champaign, IL, USA.

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Title: Scite.ai Review: By Amy Fry Associate Professor, E-Resources Management Librarian, Acquisitions & Cataloging Services, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
Authors: Fry, Amy1
Source: Journal of Electronic Resources Librarianship. Jul-Sep2023, Vol. 35 Issue 3, p238-241. 4p.
Subject Terms: *Machine learning, Database evaluation, Digital Object Identifiers
Reviews & Products: Web of Science (Web resource), Google Scholar (Web resource)
Abstract: The article focuses on Scite.ai. Artificial intelligence is a tool that provides quantitative information about citation, enabling researchers to analyze scholarship reception and replicability. It reports "smart citations" by ingesting articles with digital object identifiers (DOIs), matching them against the Crossref database, and assessing citation intent using machine learning. It mentions that it covers millions of articles with DOIs, comparable to the Web of Science and Google Scholar.
Database: Education Research Complete
FullText Text:
  Availability: 0
Header DbId: ehh
DbLabel: Education Research Complete
An: 171339582
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Scite.ai Review: By Amy Fry Associate Professor, E-Resources Management Librarian, Acquisitions & Cataloging Services, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
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  Data: <searchLink fieldCode="AR" term="%22Fry%2C+Amy%22">Fry, Amy</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Electronic+Resources+Librarianship%22">Journal of Electronic Resources Librarianship</searchLink>. Jul-Sep2023, Vol. 35 Issue 3, p238-241. 4p.
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  Data: *<searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Database+evaluation%22">Database evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+Object+Identifiers%22">Digital Object Identifiers</searchLink>
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  Label: Reviews & Products
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  Data: <searchLink fieldCode="PS" term="%22Web+of+Science+%28Web+resource%29%22">Web of Science (Web resource)</searchLink><br /><searchLink fieldCode="PS" term="%22Google+Scholar+%28Web+resource%29%22">Google Scholar (Web resource)</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: The article focuses on Scite.ai. Artificial intelligence is a tool that provides quantitative information about citation, enabling researchers to analyze scholarship reception and replicability. It reports "smart citations" by ingesting articles with digital object identifiers (DOIs), matching them against the Crossref database, and assessing citation intent using machine learning. It mentions that it covers millions of articles with DOIs, comparable to the Web of Science and Google Scholar.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=171339582
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/1941126X.2023.2225017
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 4
        StartPage: 238
    Subjects:
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Database evaluation
        Type: general
      – SubjectFull: Digital Object Identifiers
        Type: general
      – SubjectFull: Web of Science (Web resource)
        Type: general
      – SubjectFull: Google Scholar (Web resource)
        Type: general
    Titles:
      – TitleFull: Scite.ai Review: By Amy Fry Associate Professor, E-Resources Management Librarian, Acquisitions & Cataloging Services, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
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            NameFull: Fry, Amy
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            – D: 01
              M: 07
              Text: Jul-Sep2023
              Type: published
              Y: 2023
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              Value: 35
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            – TitleFull: Journal of Electronic Resources Librarianship
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