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Facets and mechanisms of adaptive pain behavior: predictive regulation and action

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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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)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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18 X users
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5 Facebook pages
wikipedia
1 Wikipedia page

Citations

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58 Dimensions

Readers on

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135 Mendeley
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Title
Facets and mechanisms of adaptive pain behavior: predictive regulation and action
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00755
Pubmed ID
Authors

India Morrison, Irene Perini, James Dunham

Abstract

Neural mechanisms underlying nociception and pain perception are considered to serve the ultimate goal of limiting tissue damage. However, since pain usually occurs in complex environments and situations that call for elaborate control over behavior, simple avoidance is insufficient to explain a range of mammalian pain responses, especially in the presence of competing goals. In this integrative review we propose a Predictive Regulation and Action (PRA) model of acute pain processing. It emphasizes evidence that the nervous system is organized to anticipate potential pain and to adjust behavior before the risk of tissue damage becomes critical. Regulatory processes occur on many levels, and can be dynamically influenced by local interactions or by modulation from other brain areas in the network. The PRA model centers on neural substrates supporting the predictive nature of pain processing, as well as on finely-calibrated yet versatile regulatory processes that ultimately affect behavior. We outline several operational categories of pain behavior, from spinally-mediated reflexes to adaptive voluntary action, situated at various neural levels. An implication is that neural processes that track potential tissue damage in terms of behavioral consequences are an integral part of pain perception.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Chile 2 1%
Australia 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
New Zealand 1 <1%
Canada 1 <1%
Unknown 125 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 21%
Student > Master 18 13%
Researcher 17 13%
Other 10 7%
Student > Doctoral Student 9 7%
Other 32 24%
Unknown 21 16%
Readers by discipline Count As %
Medicine and Dentistry 37 27%
Psychology 19 14%
Neuroscience 16 12%
Nursing and Health Professions 11 8%
Agricultural and Biological Sciences 6 4%
Other 20 15%
Unknown 26 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 13 May 2021.
All research outputs
#2,448,816
of 25,287,709 outputs
Outputs from Frontiers in Human Neuroscience
#1,144
of 7,658 outputs
Outputs of similar age
#23,571
of 293,437 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#184
of 860 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,658 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 well, scoring higher than 85% 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 293,437 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 860 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.