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Mendeley readers
| Title |
Linguistic feature analysis for protein interaction extraction
|
|---|---|
| Published in |
BMC Bioinformatics, November 2009
|
| DOI | 10.1186/1471-2105-10-374 |
| Pubmed ID | |
| Authors |
Timur Fayruzov, Martine De Cock, Chris Cornelis, Veronique Hoste |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 6% |
| Spain | 2 | 6% |
| United Kingdom | 1 | 3% |
| Netherlands | 1 | 3% |
| France | 1 | 3% |
| Belgium | 1 | 3% |
| Unknown | 28 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 22% |
| Researcher | 7 | 19% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Student > Doctoral Student | 2 | 6% |
| Other | 7 | 19% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 39% |
| Agricultural and Biological Sciences | 10 | 28% |
| Engineering | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Arts and Humanities | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 5 | 14% |