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The Social Modulation of Pain: Others as Predictive Signals of Salience – a Systematic Review

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
19 X users
facebook
4 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
187 Dimensions

Readers on

mendeley
306 Mendeley
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Title
The Social Modulation of Pain: Others as Predictive Signals of Salience – a Systematic Review
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00386
Pubmed ID
Authors

Charlotte Krahé, Anne Springer, John A. Weinman, Aikaterini Fotopoulou

Abstract

Several studies in cognitive neuroscience have investigated the cognitive and affective modulation of pain. By contrast, fewer studies have focused on the social modulation of pain, despite a plethora of relevant clinical findings. Here we present the first review of experimental studies addressing how interpersonal factors, such as the presence, behavior, and spatial proximity of an observer, modulate pain. Based on a systematic literature search, we identified 26 studies on experimentally induced pain that manipulated different interpersonal variables and measured behavioral, physiological, and neural pain-related responses. We observed that the modulation of pain by interpersonal factors depended on (1) the degree to which the social partners were active or were perceived by the participants to possess possibility for action; (2) the degree to which participants could perceive the specific intentions of the social partners; (3) the type of pre-existing relationship between the social partner and the person in pain, and lastly, (4) individual differences in relating to others and coping styles. Based on these findings, we propose that the modulation of pain by social factors can be fruitfully understood in relation to a recent predictive coding model, the free energy framework, particularly as applied to interoception and social cognition. Specifically, we argue that interpersonal interactions during pain may function as social, predictive signals of contextual threat or safety and as such influence the salience of noxious stimuli. The perception of such interpersonal interactions may in turn depend on (a) prior beliefs about interpersonal relating and (b) the certainty or precision by which an interpersonal interaction may predict environmental threat or safety.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 306 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
United Kingdom 3 <1%
Spain 1 <1%
Sweden 1 <1%
Unknown 295 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 21%
Student > Master 40 13%
Student > Bachelor 35 11%
Student > Doctoral Student 29 9%
Researcher 28 9%
Other 63 21%
Unknown 47 15%
Readers by discipline Count As %
Psychology 114 37%
Medicine and Dentistry 44 14%
Neuroscience 27 9%
Agricultural and Biological Sciences 14 5%
Social Sciences 10 3%
Other 38 12%
Unknown 59 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 17 October 2023.
All research outputs
#1,003,984
of 25,382,035 outputs
Outputs from Frontiers in Human Neuroscience
#442
of 7,676 outputs
Outputs of similar age
#7,782
of 284,953 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#61
of 861 outputs
Altmetric has tracked 25,382,035 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,676 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done particularly well, scoring higher than 94% 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 284,953 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 97% of its contemporaries.
We're also able to compare this research output to 861 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.