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Mendeley readers
| Title |
Challenges for automatically extracting molecular interactions from full-text articles
|
|---|---|
| Published in |
BMC Bioinformatics, September 2009
|
| DOI | 10.1186/1471-2105-10-311 |
| Pubmed ID | |
| Authors |
Tara McIntosh, James R Curran |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| United Kingdom | 3 | 6% |
| Spain | 2 | 4% |
| Australia | 1 | 2% |
| Brazil | 1 | 2% |
| Mexico | 1 | 2% |
| Unknown | 43 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 22% |
| Student > Ph. D. Student | 8 | 15% |
| Other | 7 | 13% |
| Student > Master | 7 | 13% |
| Professor > Associate Professor | 4 | 7% |
| Other | 10 | 19% |
| Unknown | 6 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 30% |
| Agricultural and Biological Sciences | 12 | 22% |
| Medicine and Dentistry | 5 | 9% |
| Linguistics | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Other | 4 | 7% |
| Unknown | 10 | 19% |