| 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
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% |