| Title |
Automated Protein Subfamily Identification and Classification
|
|---|---|
| Published in |
PLoS Computational Biology, August 2007
|
| DOI | 10.1371/journal.pcbi.0030160 |
| Pubmed ID | |
| Authors |
Duncan P Brown, Nandini Krishnamurthy, Kimmen Sjölander |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 7% |
| United Kingdom | 7 | 4% |
| Brazil | 6 | 4% |
| France | 4 | 3% |
| Australia | 1 | <1% |
| Switzerland | 1 | <1% |
| Israel | 1 | <1% |
| Canada | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 120 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 49 | 31% |
| Student > Ph. D. Student | 40 | 25% |
| Professor > Associate Professor | 11 | 7% |
| Other | 10 | 6% |
| Student > Master | 10 | 6% |
| Other | 32 | 20% |
| Unknown | 5 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 98 | 62% |
| Biochemistry, Genetics and Molecular Biology | 23 | 15% |
| Computer Science | 16 | 10% |
| Physics and Astronomy | 3 | 2% |
| Immunology and Microbiology | 2 | 1% |
| Other | 5 | 3% |
| Unknown | 10 | 6% |