| Title |
Machine Learning and Its Applications to Biology
|
|---|---|
| Published in |
PLoS Computational Biology, June 2007
|
| DOI | 10.1371/journal.pcbi.0030116 |
| Pubmed ID | |
| Authors |
Adi L Tarca, Vincent J Carey, Xue-wen Chen, Roberto Romero, Sorin Drăghici |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 9% |
| Chile | 1 | 9% |
| Spain | 1 | 9% |
| India | 1 | 9% |
| Venezuela, Bolivarian Republic of | 1 | 9% |
| United Kingdom | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Scientists | 3 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,312 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 28 | 2% |
| United Kingdom | 11 | <1% |
| Germany | 8 | <1% |
| France | 6 | <1% |
| Italy | 5 | <1% |
| Spain | 4 | <1% |
| China | 4 | <1% |
| India | 4 | <1% |
| Sweden | 3 | <1% |
| Other | 38 | 3% |
| Unknown | 1201 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 328 | 25% |
| Researcher | 232 | 18% |
| Student > Master | 168 | 13% |
| Student > Bachelor | 137 | 10% |
| Other | 52 | 4% |
| Other | 191 | 15% |
| Unknown | 204 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 375 | 29% |
| Biochemistry, Genetics and Molecular Biology | 206 | 16% |
| Computer Science | 166 | 13% |
| Engineering | 92 | 7% |
| Chemistry | 42 | 3% |
| Other | 195 | 15% |
| Unknown | 236 | 18% |