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Corticostriatal functional connectivity predicts transition to chronic back pain

Overview of attention for article published in Nature Neuroscience, July 2012
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Citations

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839 Dimensions

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852 Mendeley
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1 CiteULike
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Title
Corticostriatal functional connectivity predicts transition to chronic back pain
Published in
Nature Neuroscience, July 2012
DOI 10.1038/nn.3153
Pubmed ID
Authors

Marwan N Baliki, Bogdan Petre, Souraya Torbey, Kristina M Herrmann, Lejian Huang, Thomas J Schnitzer, Howard L Fields, A Vania Apkarian

Abstract

The mechanism of brain reorganization in pain chronification is unknown. In a longitudinal brain imaging study, subacute back pain (SBP) patients were followed over the course of 1 year. When pain persisted (SBPp, in contrast to recovering SBP and healthy controls), brain gray matter density decreased. Initially greater functional connectivity of nucleus accumbens with prefrontal cortex predicted pain persistence, implying that corticostriatal circuitry is causally involved in the transition from acute to chronic pain.

X Demographics

X Demographics

The data shown below were collected from the profiles of 84 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 852 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 1%
United Kingdom 7 <1%
Germany 5 <1%
Netherlands 3 <1%
Japan 3 <1%
Canada 3 <1%
Brazil 1 <1%
Switzerland 1 <1%
Israel 1 <1%
Other 10 1%
Unknown 806 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 151 18%
Researcher 142 17%
Student > Bachelor 86 10%
Student > Master 70 8%
Other 61 7%
Other 203 24%
Unknown 139 16%
Readers by discipline Count As %
Medicine and Dentistry 188 22%
Neuroscience 162 19%
Psychology 94 11%
Agricultural and Biological Sciences 87 10%
Nursing and Health Professions 34 4%
Other 96 11%
Unknown 191 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 211. 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 12 March 2024.
All research outputs
#187,365
of 26,017,215 outputs
Outputs from Nature Neuroscience
#318
of 5,702 outputs
Outputs of similar age
#809
of 179,780 outputs
Outputs of similar age from Nature Neuroscience
#3
of 68 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,702 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 57.9. This one has done particularly well, scoring higher than 93% 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 179,780 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 99% of its contemporaries.
We're also able to compare this research output to 68 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 95% of its contemporaries.