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Using Bayesian inference to estimate plausible muscle forces in musculoskeletal models

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, March 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
5 X users

Readers on

mendeley
16 Mendeley
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Title
Using Bayesian inference to estimate plausible muscle forces in musculoskeletal models
Published in
Journal of NeuroEngineering and Rehabilitation, March 2022
DOI 10.1186/s12984-022-01008-4
Pubmed ID
Authors

Russell T. Johnson, Daniel Lakeland, James M. Finley

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 19%
Student > Bachelor 2 13%
Student > Ph. D. Student 2 13%
Student > Master 2 13%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 5 31%
Readers by discipline Count As %
Engineering 8 50%
Computer Science 1 6%
Agricultural and Biological Sciences 1 6%
Medicine and Dentistry 1 6%
Sports and Recreations 1 6%
Other 0 0%
Unknown 4 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 September 2022.
All research outputs
#6,531,428
of 23,393,453 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#390
of 1,307 outputs
Outputs of similar age
#132,526
of 441,529 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#8
of 21 outputs
Altmetric has tracked 23,393,453 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,307 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 gotten more attention than average, scoring higher than 69% 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 441,529 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 69% of its contemporaries.
We're also able to compare this research output to 21 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.