| Title |
Optimal Control Predicts Human Performance on Objects with Internal Degrees of Freedom
|
|---|---|
| Published in |
PLoS Computational Biology, June 2009
|
| DOI | 10.1371/journal.pcbi.1000419 |
| Pubmed ID | |
| Authors |
Arne J. Nagengast, Daniel A. Braun, Daniel M. Wolpert |
Mendeley readers
The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 4% |
| United Kingdom | 5 | 2% |
| France | 3 | 1% |
| Canada | 3 | 1% |
| Germany | 2 | <1% |
| Switzerland | 2 | <1% |
| Turkey | 1 | <1% |
| Slovenia | 1 | <1% |
| Ghana | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 177 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 53 | 26% |
| Researcher | 41 | 20% |
| Student > Master | 29 | 14% |
| Professor | 17 | 8% |
| Other | 14 | 7% |
| Other | 29 | 14% |
| Unknown | 24 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 60 | 29% |
| Neuroscience | 30 | 14% |
| Agricultural and Biological Sciences | 21 | 10% |
| Computer Science | 19 | 9% |
| Medicine and Dentistry | 16 | 8% |
| Other | 31 | 15% |
| Unknown | 30 | 14% |