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Mendeley readers
| Title |
Biomedical event extraction from abstracts and full papers using search-based structured prediction
|
|---|---|
| Published in |
BMC Bioinformatics, June 2012
|
| DOI | 10.1186/1471-2105-13-s11-s5 |
| Pubmed ID | |
| Authors |
Andreas Vlachos, Mark Craven |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 2% |
| United Kingdom | 1 | 2% |
| Mexico | 1 | 2% |
| Spain | 1 | 2% |
| Japan | 1 | 2% |
| Unknown | 40 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 27% |
| Student > Ph. D. Student | 11 | 24% |
| Student > Master | 10 | 22% |
| Professor | 3 | 7% |
| Other | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 22 | 49% |
| Agricultural and Biological Sciences | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Medicine and Dentistry | 3 | 7% |
| Mathematics | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 4 | 9% |