| Title |
Partial Order Optimum Likelihood (POOL): Maximum Likelihood Prediction of Protein Active Site Residues Using 3D Structure and Sequence Properties
|
|---|---|
| Published in |
PLoS Computational Biology, January 2009
|
| DOI | 10.1371/journal.pcbi.1000266 |
| Pubmed ID | |
| Authors |
Wenxu Tong, Ying Wei, Leonel F. Murga, Mary Jo Ondrechen, Ronald J. Williams |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| Argentina | 1 | 2% |
| Belgium | 1 | 2% |
| Unknown | 45 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 30% |
| Researcher | 11 | 22% |
| Student > Bachelor | 8 | 16% |
| Student > Master | 4 | 8% |
| Professor > Associate Professor | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 36% |
| Chemistry | 11 | 22% |
| Computer Science | 6 | 12% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Business, Management and Accounting | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 4 | 8% |