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Thalamic Bursts and the Epic Pain Model

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

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4 X users

Citations

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19 Dimensions

Readers on

mendeley
55 Mendeley
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Title
Thalamic Bursts and the Epic Pain Model
Published in
Frontiers in Computational Neuroscience, January 2017
DOI 10.3389/fncom.2016.00147
Pubmed ID
Authors

Carl Y. Saab, Lisa Feldman Barrett

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Researcher 11 20%
Student > Master 4 7%
Student > Bachelor 4 7%
Student > Doctoral Student 2 4%
Other 8 15%
Unknown 15 27%
Readers by discipline Count As %
Neuroscience 11 20%
Agricultural and Biological Sciences 6 11%
Medicine and Dentistry 4 7%
Engineering 3 5%
Psychology 3 5%
Other 9 16%
Unknown 19 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 30 December 2018.
All research outputs
#16,294,872
of 25,732,188 outputs
Outputs from Frontiers in Computational Neuroscience
#746
of 1,475 outputs
Outputs of similar age
#245,449
of 425,763 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#13
of 34 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,475 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 45th percentile – i.e., 45% 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 425,763 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 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 58% of its contemporaries.