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Predicting Treatment Response with Sensory Phenotyping in Post-Traumatic Neuropathic Pain.

Overview of attention for article published in Pain Medicine, March 2022
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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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
1 news outlet
twitter
9 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
9 Mendeley
Title
Predicting Treatment Response with Sensory Phenotyping in Post-Traumatic Neuropathic Pain.
Published in
Pain Medicine, March 2022
DOI 10.1093/pm/pnac045
Pubmed ID
Authors

Jennifer S Gewandter, Michael B Sohn, Rachel De Guzman, Maria E Frazer, Valerie Chiodo, Sonia Sharma, Paul Geha, John D Markman

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 11%
Student > Bachelor 1 11%
Student > Doctoral Student 1 11%
Student > Master 1 11%
Unknown 5 56%
Readers by discipline Count As %
Medicine and Dentistry 3 33%
Neuroscience 1 11%
Unknown 5 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 16 May 2022.
All research outputs
#2,564,521
of 25,392,582 outputs
Outputs from Pain Medicine
#569
of 3,200 outputs
Outputs of similar age
#59,259
of 446,003 outputs
Outputs of similar age from Pain Medicine
#10
of 42 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,200 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 82% 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 446,003 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.