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Mendeley readers
| Title |
A voting approach to identify a small number of highly predictive genes using multiple classifiers
|
|---|---|
| Published in |
BMC Bioinformatics, January 2009
|
| DOI | 10.1186/1471-2105-10-s1-s19 |
| Pubmed ID | |
| Authors |
Md Rafiul Hassan, M Maruf Hossain, James Bailey, Geoff Macintyre, Joshua WK Ho, Kotagiri Ramamohanarao |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| Colombia | 1 | 4% |
| France | 1 | 4% |
| Australia | 1 | 4% |
| Unknown | 22 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 42% |
| Student > Master | 4 | 15% |
| Other | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Researcher | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 23% |
| Agricultural and Biological Sciences | 5 | 19% |
| Biochemistry, Genetics and Molecular Biology | 4 | 15% |
| Medicine and Dentistry | 4 | 15% |
| Engineering | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 4 | 15% |