Preprint

Research on Translational Psychological Treatment: A Comprehensive Bibliometric Analysis

This article is a preprint and has not been certified by peer review [What does this mean?].

Author(s) / Creator(s)

Bittermann, André
Petrule, Claudiu
Ritter, Viktoria
Haberkamp, Anke
Hofmann, Stefan G.
Rief, Winfried
the PsyChange Network

Abstract / Description

Psychotherapy researchers have emphasized the importance of a paradigm shift towards translational psychological treatment. However, the publication landscape on this topic is uncharted. This makes it difficult to assess the state of translational psychotherapy research. Hence, we developed a workflow that leverages natural language processing and machine learning to find relevant studies. Based on this, we bibliometrically analyzed 7,146 publications to provide insights for the integration and development of the research field. Specifically, citation and network analyses were performed to examine the strengths and weaknesses of the research field. Five main findings emerged: 1. Machine learning proved valuable in finding eligible publications and generating an open dataset. 2. Regarding basic psychological subfields, translation comes primarily from physiological psychology/neuroscience, with a focus on fear, posttraumatic stress, and anxiety. 3. Translational research is characterized by international collaborations. 4. It has an impact within and beyond academia. 5. The lack of standardized terminology might threaten scientific progress. To foster a paradigm shift towards translational psychological treatment, a consistent terminology would greatly facilitate its development and dissemination.

Keyword(s)

translational psychotherapy bibliometrics machine learning research impact terminology translational research basic science

Persistent Identifier

Date of first publication

2024-09-26

Publisher

PsychArchives

Citation

  • 4
    2024-09-26
    We corrected the labeling of two machine learning datasets as follows: Test Set 1 -> Validation Set, Test Set 2 -> Test Set. We also added some notes on the impact of inconsistent terminology in the discussion section.
  • 3
    2024-07-30
    The manuscript has been revised with a new paper identification workflow and expanded dataset of more recent publications. Results and conclusions remain largely unchanged, except the previous indication of thematic fragmentation is no longer evident.
  • 2
    2023-11-13
    Updated title and abstract, removed an erroneously included publication from the dataset and updated the results, minor edits.
  • 1
    2023-09-21
  • Author(s) / Creator(s)
    Bittermann, André
  • Author(s) / Creator(s)
    Petrule, Claudiu
  • Author(s) / Creator(s)
    Ritter, Viktoria
  • Author(s) / Creator(s)
    Haberkamp, Anke
  • Author(s) / Creator(s)
    Hofmann, Stefan G.
  • Author(s) / Creator(s)
    Rief, Winfried
  • Author(s) / Creator(s)
    the PsyChange Network
  • PsychArchives acquisition timestamp
    2024-09-26T11:59:56Z
  • Made available on
    2023-09-21T13:58:01Z
  • Made available on
    2023-11-13T11:36:05Z
  • Made available on
    2024-07-30T12:44:34Z
  • Made available on
    2024-09-26T11:59:56Z
  • Date of first publication
    2024-09-26
  • Submission date
    2023-06-29
  • Abstract / Description
    Psychotherapy researchers have emphasized the importance of a paradigm shift towards translational psychological treatment. However, the publication landscape on this topic is uncharted. This makes it difficult to assess the state of translational psychotherapy research. Hence, we developed a workflow that leverages natural language processing and machine learning to find relevant studies. Based on this, we bibliometrically analyzed 7,146 publications to provide insights for the integration and development of the research field. Specifically, citation and network analyses were performed to examine the strengths and weaknesses of the research field. Five main findings emerged: 1. Machine learning proved valuable in finding eligible publications and generating an open dataset. 2. Regarding basic psychological subfields, translation comes primarily from physiological psychology/neuroscience, with a focus on fear, posttraumatic stress, and anxiety. 3. Translational research is characterized by international collaborations. 4. It has an impact within and beyond academia. 5. The lack of standardized terminology might threaten scientific progress. To foster a paradigm shift towards translational psychological treatment, a consistent terminology would greatly facilitate its development and dissemination.
    en_US
  • Publication status
    other
    en
  • Review status
    notReviewed
    en
  • Persistent Identifier
    https://hdl.handle.net/20.500.12034/8751.4
  • Persistent Identifier
    https://doi.org/10.23668/psycharchives.15458
  • Language of content
    eng
    en_US
  • Publisher
    PsychArchives
    en_US
  • Is referenced by
    http://dx.doi.org/10.23668/psycharchives.13262
  • Is related to
    https://doi.org/10.23668/psycharchives.12961
  • Is related to
    https://www.psycharchives.org/handle/20.500.12034/10895
  • Is related to
    https://www.psycharchives.org/handle/20.500.12034/8764
  • Is related to
    https://www.psycharchives.org/handle/20.500.12034/10896
  • Is related to
    https://doi.org/10.23668/psycharchives.13262
  • Is related to
    https://www.psycharchives.org/handle/20.500.12034/9038
  • Keyword(s)
    translational psychotherapy
    en_US
  • Keyword(s)
    bibliometrics
    en_US
  • Keyword(s)
    machine learning
    en_US
  • Keyword(s)
    research impact
    en_US
  • Keyword(s)
    terminology
    en_US
  • Keyword(s)
    translational research
    en_US
  • Keyword(s)
    basic science
    en_US
  • Dewey Decimal Classification number(s)
    150
  • Title
    Research on Translational Psychological Treatment: A Comprehensive Bibliometric Analysis
    en_US
  • DRO type
    preprint
    en_US
  • Leibniz institute name(s) / abbreviation(s)
    ZPID
    de_DE