| Title |
Biomedical Text Mining and Its Applications
|
|---|---|
| Published in |
PLoS Computational Biology, December 2009
|
| DOI | 10.1371/journal.pcbi.1000597 |
| Pubmed ID | |
| Authors |
Raul Rodriguez-Esteban |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 318 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 3% |
| United Kingdom | 6 | 2% |
| Portugal | 4 | 1% |
| Mexico | 4 | 1% |
| Netherlands | 3 | <1% |
| Canada | 3 | <1% |
| France | 2 | <1% |
| Spain | 2 | <1% |
| India | 2 | <1% |
| Other | 14 | 4% |
| Unknown | 268 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 66 | 21% |
| Student > Ph. D. Student | 60 | 19% |
| Student > Master | 57 | 18% |
| Other | 25 | 8% |
| Student > Bachelor | 20 | 6% |
| Other | 64 | 20% |
| Unknown | 26 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 101 | 32% |
| Agricultural and Biological Sciences | 86 | 27% |
| Biochemistry, Genetics and Molecular Biology | 21 | 7% |
| Medicine and Dentistry | 19 | 6% |
| Social Sciences | 10 | 3% |
| Other | 48 | 15% |
| Unknown | 33 | 10% |