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Mendeley readers
| Title |
Simple tricks for improving pattern-based information extraction from the biomedical literature
|
|---|---|
| Published in |
Journal of Biomedical Semantics, September 2010
|
| DOI | 10.1186/2041-1480-1-9 |
| Pubmed ID | |
| Authors |
Quang Long Nguyen, Domonkos Tikk, Ulf Leser |
| Abstract |
Pattern-based approaches to relation extraction have shown very good results in many areas of biomedical text mining. However, defining the right set of patterns is difficult; approaches are either manual, incurring high cost, or automatic, often resulting in large sets of noisy patterns. |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Portugal | 1 | 3% |
| Netherlands | 1 | 3% |
| France | 1 | 3% |
| Hungary | 1 | 3% |
| Mexico | 1 | 3% |
| India | 1 | 3% |
| Spain | 1 | 3% |
| Russia | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 30 | 75% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 23% |
| Researcher | 9 | 23% |
| Other | 3 | 8% |
| Student > Master | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 8 | 20% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 35% |
| Agricultural and Biological Sciences | 12 | 30% |
| Linguistics | 3 | 8% |
| Engineering | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Other | 1 | 3% |
| Unknown | 5 | 13% |