Conference Object

The Merits of Screening Automation for Bibliometric Analyses: The Case of Translational Psychotherapy

Author(s) / Creator(s)

Petrule, Claudiu
Bittermann, André
Ritter, Viktoria
Haberkamp, Anke
Rief, Winfried

Abstract / Description

Analyzing emerging fields using traditional bibliometric techniques can be difficult due to inconsistent terminology and vague or porous boundaries. The absence of precise terms for database search queries can hinder efforts to fully cover a given construct of interest and may result in biased or distorted representations. The common solution of widening the scope of the search can lead to the inclusion of a large number of false positives, making it difficult to distinguish eligible data from noise. As a consequence, the drastically increased amount of records makes screening an absolute requirement for building a complete and accurate dataset.

Keyword(s)

machine learning metascience methods and techniques screening automation translational research

Persistent Identifier

Date of first publication

2023-07-03

Is part of

Big Data & Research Syntheses 2023, Frankfurt, Germany

Publisher

ZPID (Leibniz Institute for Psychology)

Citation

  • Ressyn Big-Data_ The Merits of Screening Automation for Bibliometric Analyses_ The Case of Translational Psychotherapy.pdf
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    Description: Conference Presentation
  • 3
    2023-07-03
    Updated the authors on metadata level to reflect the entire team involved in the project, not only the presenter. Updated the copyright level to CC BY 4.0.
  • 2
    2023-05-16
    Updated the authors on the first page to reflect the entire team involved in the project, not only the presenter.
  • 1
    2023-05-03
  • Author(s) / Creator(s)
    Petrule, Claudiu
  • Author(s) / Creator(s)
    Bittermann, André
  • Author(s) / Creator(s)
    Ritter, Viktoria
  • Author(s) / Creator(s)
    Haberkamp, Anke
  • Author(s) / Creator(s)
    Rief, Winfried
  • PsychArchives acquisition timestamp
    2023-07-03T14:12:23Z
  • Made available on
    2023-05-03T12:59:52Z
  • Made available on
    2023-05-16T14:45:52Z
  • Made available on
    2023-07-03T14:12:23Z
  • Date of first publication
    2023-07-03
  • Abstract / Description
    Analyzing emerging fields using traditional bibliometric techniques can be difficult due to inconsistent terminology and vague or porous boundaries. The absence of precise terms for database search queries can hinder efforts to fully cover a given construct of interest and may result in biased or distorted representations. The common solution of widening the scope of the search can lead to the inclusion of a large number of false positives, making it difficult to distinguish eligible data from noise. As a consequence, the drastically increased amount of records makes screening an absolute requirement for building a complete and accurate dataset.
    en_US
  • Publication status
    unknown
    en
  • Review status
    unknown
    en
  • Persistent Identifier
    https://hdl.handle.net/20.500.12034/8365.3
  • Persistent Identifier
    https://doi.org/10.23668/psycharchives.12961
  • Language of content
    eng
    en_US
  • Publisher
    ZPID (Leibniz Institute for Psychology)
    en_US
  • Is part of
    Big Data & Research Syntheses 2023, Frankfurt, Germany
    en_US
  • Is related to
    https://doi.org/10.23668/psycharchives.13006
  • Is related to
    https://doi.org/10.23668/psycharchives.15204
  • Keyword(s)
    machine learning
    en_US
  • Keyword(s)
    metascience
    en_US
  • Keyword(s)
    methods and techniques
    en_US
  • Keyword(s)
    screening automation
    en_US
  • Keyword(s)
    translational research
    en_US
  • Dewey Decimal Classification number(s)
    150
  • Title
    The Merits of Screening Automation for Bibliometric Analyses: The Case of Translational Psychotherapy
    en_US
  • DRO type
    conferenceObject
    en_US
  • Leibniz institute name(s) / abbreviation(s)
    ZPID
    de_DE
  • Visible tag(s)
    ZPID Conferences and Workshops