| Title |
Mammalian MicroRNA Prediction through a Support Vector Machine Model of Sequence and Structure
|
|---|---|
| Published in |
PLOS ONE, September 2007
|
| DOI | 10.1371/journal.pone.0000946 |
| Pubmed ID | |
| Authors |
Ying Sheng, Pär G. Engström, Boris Lenhard |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| United States | 2 | 2% |
| Hong Kong | 1 | 1% |
| Brazil | 1 | 1% |
| Italy | 1 | 1% |
| India | 1 | 1% |
| Sweden | 1 | 1% |
| Greece | 1 | 1% |
| China | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 84 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 31% |
| Researcher | 27 | 28% |
| Student > Master | 7 | 7% |
| Professor | 6 | 6% |
| Professor > Associate Professor | 6 | 6% |
| Other | 13 | 14% |
| Unknown | 7 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 54% |
| Computer Science | 14 | 15% |
| Biochemistry, Genetics and Molecular Biology | 13 | 14% |
| Medicine and Dentistry | 3 | 3% |
| Mathematics | 1 | 1% |
| Other | 3 | 3% |
| Unknown | 10 | 11% |