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Mendeley readers
| Title |
DODO: an efficient orthologous genes assignment tool based on domain architectures. Domain based ortholog detection
|
|---|---|
| Published in |
BMC Bioinformatics, October 2010
|
| DOI | 10.1186/1471-2105-11-s7-s6 |
| Pubmed ID | |
| Authors |
Ting-wen Chen, Timothy H Wu, Wailap V Ng, Wen-chang Lin |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 5% |
| Brazil | 2 | 3% |
| United Kingdom | 2 | 3% |
| South Africa | 1 | 2% |
| Australia | 1 | 2% |
| Mexico | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 49 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 23% |
| Student > Master | 12 | 20% |
| Student > Ph. D. Student | 11 | 18% |
| Student > Bachelor | 4 | 7% |
| Professor > Associate Professor | 4 | 7% |
| Other | 11 | 18% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 52% |
| Biochemistry, Genetics and Molecular Biology | 13 | 22% |
| Computer Science | 7 | 12% |
| Medicine and Dentistry | 1 | 2% |
| Neuroscience | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 7 | 12% |