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The Evoked Compound Action Potential as a Predictor for Perception in Chronic Pain Patients: Tools for Automatic Spinal Cord Stimulator Programming and Control

Overview of attention for article published in Frontiers in Neuroscience, July 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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5 X users

Citations

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18 Dimensions

Readers on

mendeley
39 Mendeley
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Title
The Evoked Compound Action Potential as a Predictor for Perception in Chronic Pain Patients: Tools for Automatic Spinal Cord Stimulator Programming and Control
Published in
Frontiers in Neuroscience, July 2021
DOI 10.3389/fnins.2021.673998
Pubmed ID
Authors

Julie G. Pilitsis, Krishnan V. Chakravarthy, Andrew J. Will, Karen C. Trutnau, Kristin N. Hageman, David A. Dinsmoor, Leonid M. Litvak

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 10%
Researcher 4 10%
Other 3 8%
Student > Doctoral Student 3 8%
Student > Master 2 5%
Other 2 5%
Unknown 21 54%
Readers by discipline Count As %
Engineering 10 26%
Neuroscience 4 10%
Medicine and Dentistry 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Unspecified 1 3%
Other 0 0%
Unknown 21 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 July 2021.
All research outputs
#14,399,152
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#5,658
of 11,543 outputs
Outputs of similar age
#191,686
of 447,345 outputs
Outputs of similar age from Frontiers in Neuroscience
#154
of 410 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 447,345 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 410 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.