| Title |
Computational Inference of Neural Information Flow Networks
|
|---|---|
| Published in |
PLoS Computational Biology, October 2006
|
| DOI | 10.1371/journal.pcbi.0020161 |
| Pubmed ID | |
| Authors |
V. Anne Smith, Jing Yu, Tom V Smulders, Alexander J Hartemink, Erich D Jarvis |
Mendeley readers
The data shown below were compiled from readership statistics for 242 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 19 | 8% |
| Germany | 6 | 2% |
| Brazil | 2 | <1% |
| Malaysia | 1 | <1% |
| Switzerland | 1 | <1% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| Portugal | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 7 | 3% |
| Unknown | 202 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 64 | 26% |
| Student > Ph. D. Student | 63 | 26% |
| Professor > Associate Professor | 20 | 8% |
| Student > Master | 20 | 8% |
| Professor | 15 | 6% |
| Other | 43 | 18% |
| Unknown | 17 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 81 | 33% |
| Computer Science | 32 | 13% |
| Neuroscience | 26 | 11% |
| Engineering | 20 | 8% |
| Psychology | 11 | 5% |
| Other | 45 | 19% |
| Unknown | 27 | 11% |