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Spinal cord stimulation in chronic pain: evidence and theory for mechanisms of action

Overview of attention for article published in Bioelectronic Medicine, June 2019
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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 (93rd percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
28 tweeters

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
172 Mendeley
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Title
Spinal cord stimulation in chronic pain: evidence and theory for mechanisms of action
Published in
Bioelectronic Medicine, June 2019
DOI 10.1186/s42234-019-0023-1
Pubmed ID
Authors

Jacob Caylor, Rajiv Reddy, Sopyda Yin, Christina Cui, Mingxiong Huang, Charles Huang, Ramesh Rao, Dewleen G. Baker, Alan Simmons, Dmitri Souza, Samer Narouze, Ricardo Vallejo, Imanuel Lerman

Twitter Demographics

The data shown below were collected from the profiles of 28 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 172 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 15%
Student > Bachelor 20 12%
Other 16 9%
Student > Ph. D. Student 16 9%
Student > Master 16 9%
Other 32 19%
Unknown 46 27%
Readers by discipline Count As %
Medicine and Dentistry 44 26%
Neuroscience 21 12%
Engineering 19 11%
Biochemistry, Genetics and Molecular Biology 6 3%
Nursing and Health Professions 6 3%
Other 22 13%
Unknown 54 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 20 May 2022.
All research outputs
#811,652
of 21,377,679 outputs
Outputs from Bioelectronic Medicine
#11
of 92 outputs
Outputs of similar age
#17,668
of 281,722 outputs
Outputs of similar age from Bioelectronic Medicine
#1
of 1 outputs
Altmetric has tracked 21,377,679 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 92 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.0. 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 281,722 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 93% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them