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Mendeley readers
| Title |
An environment for relation mining over richly annotated corpora: the case of GENIA
|
|---|---|
| Published in |
BMC Bioinformatics, November 2006
|
| DOI | 10.1186/1471-2105-7-s3-s3 |
| Pubmed ID | |
| Authors |
Fabio Rinaldi, Gerold Schneider, Kaarel Kaljurand, Michael Hess, Martin Romacker |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 6% |
| Switzerland | 1 | 3% |
| Netherlands | 1 | 3% |
| Germany | 1 | 3% |
| Australia | 1 | 3% |
| France | 1 | 3% |
| Spain | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 26 | 74% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 34% |
| Student > Doctoral Student | 4 | 11% |
| Student > Master | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Professor > Associate Professor | 3 | 9% |
| Other | 6 | 17% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 57% |
| Agricultural and Biological Sciences | 5 | 14% |
| Medicine and Dentistry | 3 | 9% |
| Mathematics | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 3 | 9% |