| Title |
Pairwise Maximum Entropy Models for Studying Large Biological Systems: When They Can Work and When They Can't
|
|---|---|
| Published in |
PLoS Computational Biology, May 2009
|
| DOI | 10.1371/journal.pcbi.1000380 |
| Pubmed ID | |
| Authors |
Yasser Roudi, Sheila Nirenberg, Peter E. Latham |
Mendeley readers
The data shown below were compiled from readership statistics for 326 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 23 | 7% |
| Germany | 8 | 2% |
| United Kingdom | 3 | <1% |
| Australia | 2 | <1% |
| Switzerland | 1 | <1% |
| Israel | 1 | <1% |
| Portugal | 1 | <1% |
| France | 1 | <1% |
| China | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 282 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 90 | 28% |
| Researcher | 82 | 25% |
| Student > Master | 27 | 8% |
| Professor > Associate Professor | 24 | 7% |
| Professor | 23 | 7% |
| Other | 56 | 17% |
| Unknown | 24 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 106 | 33% |
| Physics and Astronomy | 50 | 15% |
| Neuroscience | 41 | 13% |
| Computer Science | 29 | 9% |
| Engineering | 21 | 6% |
| Other | 48 | 15% |
| Unknown | 31 | 10% |