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EMG-driven musculoskeletal model calibration with estimation of unmeasured muscle excitations via synergy extrapolation

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, September 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
30 Mendeley
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Title
EMG-driven musculoskeletal model calibration with estimation of unmeasured muscle excitations via synergy extrapolation
Published in
Frontiers in Bioengineering and Biotechnology, September 2022
DOI 10.3389/fbioe.2022.962959
Pubmed ID
Authors

Di Ao, Marleny M. Vega, Mohammad S. Shourijeh, Carolynn Patten, Benjamin J. Fregly

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Student > Bachelor 3 10%
Student > Master 3 10%
Researcher 3 10%
Professor 1 3%
Other 3 10%
Unknown 12 40%
Readers by discipline Count As %
Engineering 11 37%
Sports and Recreations 4 13%
Computer Science 1 3%
Neuroscience 1 3%
Agricultural and Biological Sciences 1 3%
Other 0 0%
Unknown 12 40%
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 27 September 2022.
All research outputs
#6,001,641
of 24,513,158 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#829
of 7,910 outputs
Outputs of similar age
#107,353
of 422,823 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#49
of 728 outputs
Altmetric has tracked 24,513,158 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,910 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 89% 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 422,823 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 74% of its contemporaries.
We're also able to compare this research output to 728 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 93% of its contemporaries.