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Mendeley readers
| Title |
A combined approach to data mining of textual and structured data to identify cancer-related targets
|
|---|---|
| Published in |
BMC Bioinformatics, July 2006
|
| DOI | 10.1186/1471-2105-7-354 |
| Pubmed ID | |
| Authors |
Pavel Pospisil, Lakshmanan K Iyer, S James Adelstein, Amin I Kassis |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 48 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 18% |
| Researcher | 7 | 14% |
| Student > Bachelor | 7 | 14% |
| Other | 5 | 10% |
| Student > Master | 5 | 10% |
| Other | 12 | 24% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 32% |
| Agricultural and Biological Sciences | 11 | 22% |
| Computer Science | 10 | 20% |
| Nursing and Health Professions | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 7 | 14% |