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Talking Cure Models: A Framework of Analysis

Overview of attention for article published in Frontiers in Psychology, September 2017
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Title
Talking Cure Models: A Framework of Analysis
Published in
Frontiers in Psychology, September 2017
DOI 10.3389/fpsyg.2017.01589
Pubmed ID
Authors

Christopher Marx, Cord Benecke, Antje Gumz

Abstract

Psychotherapy is commonly described as a "talking cure," a treatment method that operates through linguistic action and interaction. The operative specifics of therapeutic language use, however, are insufficiently understood, mainly due to a multitude of disparate approaches that advance different notions of what "talking" means and what "cure" implies in the respective context. Accordingly, a clarification of the basic theoretical structure of "talking cure models," i.e., models that describe therapeutic processes with a focus on language use, is a desideratum of language-oriented psychotherapy research. Against this background the present paper suggests a theoretical framework of analysis which distinguishes four basic components of "talking cure models": (1) a foundational theory (which suggests how linguistic activity can affect and transform human experience), (2) an experiential problem state (which defines the problem or pathology of the patient), (3) a curative linguistic activity (which defines linguistic activities that are supposed to effectuate a curative transformation of the experiential problem state), and (4) a change mechanism (which defines the processes and effects involved in such transformations). The purpose of the framework is to establish a terminological foundation that allows for systematically reconstructing basic properties and operative mechanisms of "talking cure models." To demonstrate the applicability and utility of the framework, five distinct "talking cure models" which spell out the details of curative "talking" processes in terms of (1) catharsis, (2) symbolization, (3) narrative, (4) metaphor, and (5) neurocognitive inhibition are introduced and discussed in terms of the framework components. In summary, we hope that our framework will prove useful for the objective of clarifying the theoretical underpinnings of language-oriented psychotherapy research and help to establish a more comprehensive understanding of how curative language use contributes to the process of therapeutic change.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 15%
Researcher 5 10%
Student > Master 4 8%
Student > Bachelor 4 8%
Student > Doctoral Student 3 6%
Other 8 17%
Unknown 17 35%
Readers by discipline Count As %
Psychology 16 33%
Neuroscience 3 6%
Unspecified 2 4%
Computer Science 1 2%
Immunology and Microbiology 1 2%
Other 5 10%
Unknown 20 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 May 2022.
All research outputs
#12,994,840
of 23,001,641 outputs
Outputs from Frontiers in Psychology
#11,856
of 30,235 outputs
Outputs of similar age
#148,498
of 316,290 outputs
Outputs of similar age from Frontiers in Psychology
#322
of 583 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,235 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 60% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,290 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 583 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.