| Title |
Joint Evolutionary Trees: A Large-Scale Method To Predict Protein Interfaces Based on Sequence Sampling
|
|---|---|
| Published in |
PLoS Computational Biology, January 2009
|
| DOI | 10.1371/journal.pcbi.1000267 |
| Pubmed ID | |
| Authors |
Stefan Engelen, Ladislas A. Trojan, Sophie Sacquin-Mora, Richard Lavery, Alessandra Carbone |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 5% |
| Germany | 2 | 2% |
| France | 1 | 1% |
| Italy | 1 | 1% |
| Australia | 1 | 1% |
| Switzerland | 1 | 1% |
| India | 1 | 1% |
| Sweden | 1 | 1% |
| Spain | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 69 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 27% |
| Researcher | 21 | 25% |
| Professor > Associate Professor | 9 | 11% |
| Student > Master | 7 | 8% |
| Student > Doctoral Student | 5 | 6% |
| Other | 13 | 16% |
| Unknown | 6 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 47% |
| Biochemistry, Genetics and Molecular Biology | 15 | 18% |
| Computer Science | 8 | 10% |
| Physics and Astronomy | 3 | 4% |
| Chemistry | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 7 | 8% |