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Human Leg Model Predicts Ankle Muscle-Tendon Morphology, State, Roles and Energetics in Walking

Overview of attention for article published in PLoS Computational Biology, March 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
patent
1 patent

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
199 Mendeley
citeulike
1 CiteULike
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Title
Human Leg Model Predicts Ankle Muscle-Tendon Morphology, State, Roles and Energetics in Walking
Published in
PLoS Computational Biology, March 2011
DOI 10.1371/journal.pcbi.1001107
Pubmed ID
Authors

Pavitra Krishnaswamy, Emery N. Brown, Hugh M. Herr

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Germany 3 2%
France 1 <1%
United Kingdom 1 <1%
Australia 1 <1%
Japan 1 <1%
Belgium 1 <1%
Unknown 185 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 29%
Student > Master 32 16%
Researcher 26 13%
Student > Bachelor 16 8%
Student > Doctoral Student 12 6%
Other 38 19%
Unknown 18 9%
Readers by discipline Count As %
Engineering 93 47%
Agricultural and Biological Sciences 18 9%
Medicine and Dentistry 13 7%
Sports and Recreations 11 6%
Neuroscience 7 4%
Other 26 13%
Unknown 31 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 November 2021.
All research outputs
#2,717,380
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#2,411
of 9,043 outputs
Outputs of similar age
#12,336
of 129,776 outputs
Outputs of similar age from PLoS Computational Biology
#9
of 59 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 73% 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 129,776 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.