| Title |
Structure Learning in Human Sequential Decision-Making
|
|---|---|
| Published in |
PLoS Computational Biology, December 2010
|
| DOI | 10.1371/journal.pcbi.1001003 |
| Pubmed ID | |
| Authors |
Daniel E. Acuña, Paul Schrater |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 5% |
| Switzerland | 2 | 2% |
| United States | 2 | 2% |
| Austria | 1 | <1% |
| Israel | 1 | <1% |
| India | 1 | <1% |
| Germany | 1 | <1% |
| New Zealand | 1 | <1% |
| France | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 103 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 26% |
| Researcher | 25 | 21% |
| Student > Master | 15 | 12% |
| Student > Bachelor | 14 | 12% |
| Professor > Associate Professor | 7 | 6% |
| Other | 15 | 12% |
| Unknown | 14 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 30 | 25% |
| Computer Science | 26 | 21% |
| Neuroscience | 12 | 10% |
| Agricultural and Biological Sciences | 11 | 9% |
| Engineering | 5 | 4% |
| Other | 20 | 17% |
| Unknown | 17 | 14% |