Title |
Predictions of Hot Spot Residues at Protein-Protein Interfaces Using Support Vector Machines
|
---|---|
Published in |
PLOS ONE, February 2011
|
DOI | 10.1371/journal.pone.0016774 |
Pubmed ID | |
Authors |
Stefano Lise, Daniel Buchan, Massimiliano Pontil, David T. Jones |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 4% |
Germany | 1 | <1% |
Korea, Republic of | 1 | <1% |
Australia | 1 | <1% |
India | 1 | <1% |
France | 1 | <1% |
Singapore | 1 | <1% |
China | 1 | <1% |
Spain | 1 | <1% |
Other | 1 | <1% |
Unknown | 104 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 31 | 26% |
Researcher | 29 | 25% |
Student > Master | 12 | 10% |
Professor > Associate Professor | 10 | 8% |
Other | 7 | 6% |
Other | 20 | 17% |
Unknown | 9 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 44 | 37% |
Biochemistry, Genetics and Molecular Biology | 21 | 18% |
Chemistry | 18 | 15% |
Computer Science | 9 | 8% |
Engineering | 4 | 3% |
Other | 9 | 8% |
Unknown | 13 | 11% |