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Tutorial: using NEURON for neuromechanical simulations

Overview of attention for article published in Frontiers in Computational Neuroscience, July 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
11 X users
facebook
1 Facebook page

Readers on

mendeley
4 Mendeley
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Title
Tutorial: using NEURON for neuromechanical simulations
Published in
Frontiers in Computational Neuroscience, July 2023
DOI 10.3389/fncom.2023.1143323
Pubmed ID
Authors

Chris Fietkiewicz, Robert A. McDougal, David Corrales Marco, Hillel J. Chiel, Peter J. Thomas

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Student > Ph. D. Student 1 25%
Student > Bachelor 1 25%
Student > Doctoral Student 1 25%
Readers by discipline Count As %
Psychology 1 25%
Sports and Recreations 1 25%
Neuroscience 1 25%
Engineering 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 21 August 2023.
All research outputs
#6,656,325
of 26,505,350 outputs
Outputs from Frontiers in Computational Neuroscience
#264
of 1,498 outputs
Outputs of similar age
#97,683
of 369,265 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#2
of 26 outputs
Altmetric has tracked 26,505,350 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,498 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. 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 369,265 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 73% of its contemporaries.
We're also able to compare this research output to 26 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 92% of its contemporaries.