| Title |
Probabilistic Protein Function Prediction from Heterogeneous Genome-Wide Data
|
|---|---|
| Published in |
PLOS ONE, March 2007
|
| DOI | 10.1371/journal.pone.0000337 |
| Pubmed ID | |
| Authors |
Naoki Nariai, Eric D. Kolaczyk, Simon Kasif |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 10% |
| United Kingdom | 2 | 3% |
| Hungary | 1 | 2% |
| Germany | 1 | 2% |
| Tunisia | 1 | 2% |
| Philippines | 1 | 2% |
| Unknown | 48 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 33% |
| Student > Ph. D. Student | 19 | 32% |
| Professor > Associate Professor | 6 | 10% |
| Student > Master | 3 | 5% |
| Other | 3 | 5% |
| Other | 4 | 7% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 43% |
| Biochemistry, Genetics and Molecular Biology | 11 | 18% |
| Computer Science | 10 | 17% |
| Mathematics | 4 | 7% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 6 | 10% |