↓ Skip to main content

Tailoring Cognitive Behavioral Therapy to Subtypes of Voice-Hearing

Overview of attention for article published in Frontiers in Psychology, December 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
14 X users
facebook
1 Facebook page

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
124 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Tailoring Cognitive Behavioral Therapy to Subtypes of Voice-Hearing
Published in
Frontiers in Psychology, December 2015
DOI 10.3389/fpsyg.2015.01933
Pubmed ID
Authors

David Smailes, Ben Alderson-Day, Charles Fernyhough, Simon McCarthy-Jones, Guy Dodgson

Abstract

Cognitive behavioral therapy (CBT) for voice-hearing (i.e., auditory verbal hallucinations; AVH) has, at best, small to moderate effects. One possible reason for this limited efficacy is that current CBT approaches tend to conceptualize voice-hearing as a homogenous experience in terms of the cognitive processes involved in AVH. However, the highly heterogeneous nature of voice-hearing suggests that many different cognitive processes may be involved in the etiology of AVH. These heterogeneous voice-hearing experiences do, however, appear to cluster into a set of subtypes, opening up the possibility of tailoring treatment to the subtype of AVH that a voice-hearer reports. In this paper, we (a) outline our rationale for tailoring CBT to subtypes of voice-hearing, (b) describe CBT for three putative subtypes of AVH (inner speech-based AVH, memory-based AVH, and hypervigilance AVH), and (c) discuss potential limitations and problems with such an approach. We conclude by arguing that tailoring CBT to subtypes of voice-hearing could prove to be a valuable therapeutic development, which may be especially effective when used in early intervention in psychosis services.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Unknown 122 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 15%
Student > Ph. D. Student 18 15%
Researcher 18 15%
Student > Master 16 13%
Student > Doctoral Student 14 11%
Other 16 13%
Unknown 23 19%
Readers by discipline Count As %
Psychology 69 56%
Neuroscience 8 6%
Medicine and Dentistry 7 6%
Nursing and Health Professions 6 5%
Arts and Humanities 3 2%
Other 5 4%
Unknown 26 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 09 June 2021.
All research outputs
#1,886,365
of 24,601,689 outputs
Outputs from Frontiers in Psychology
#3,824
of 33,175 outputs
Outputs of similar age
#32,253
of 400,107 outputs
Outputs of similar age from Frontiers in Psychology
#70
of 423 outputs
Altmetric has tracked 24,601,689 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,175 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done well, scoring higher than 88% 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 400,107 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 423 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.