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Mendeley readers
| Title |
A novel strategy for classifying the output from an in silicovaccine discovery pipeline for eukaryotic pathogens using machine learning algorithms
|
|---|---|
| Published in |
BMC Bioinformatics, November 2013
|
| DOI | 10.1186/1471-2105-14-315 |
| Pubmed ID | |
| Authors |
Stephen J Goodswen, Paul J Kennedy, John T Ellis |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Kenya | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 52 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 18% |
| Student > Master | 9 | 16% |
| Student > Ph. D. Student | 8 | 15% |
| Other | 6 | 11% |
| Professor | 4 | 7% |
| Other | 7 | 13% |
| Unknown | 11 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 25% |
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Medicine and Dentistry | 5 | 9% |
| Veterinary Science and Veterinary Medicine | 4 | 7% |
| Computer Science | 4 | 7% |
| Other | 7 | 13% |
| Unknown | 13 | 24% |