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Mendeley readers
| Title |
Protein network prediction and topological analysis in Leishmania major as a tool for drug target selection
|
|---|---|
| Published in |
BMC Bioinformatics, September 2010
|
| DOI | 10.1186/1471-2105-11-484 |
| Pubmed ID | |
| Authors |
Andrés F Flórez, Daeui Park, Jong Bhak, Byoung-Chul Kim, Allan Kuchinsky, John H Morris, Jairo Espinosa, Carlos Muskus |
Mendeley readers
The data shown below were compiled from readership statistics for 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 5 | 3% |
| Colombia | 2 | 1% |
| United Kingdom | 2 | 1% |
| United States | 2 | 1% |
| Brazil | 2 | 1% |
| Bulgaria | 1 | <1% |
| Italy | 1 | <1% |
| Turkey | 1 | <1% |
| Peru | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 157 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 19% |
| Student > Master | 27 | 15% |
| Student > Ph. D. Student | 26 | 15% |
| Student > Bachelor | 15 | 8% |
| Student > Postgraduate | 11 | 6% |
| Other | 42 | 24% |
| Unknown | 22 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 65 | 37% |
| Biochemistry, Genetics and Molecular Biology | 19 | 11% |
| Computer Science | 19 | 11% |
| Chemistry | 9 | 5% |
| Engineering | 9 | 5% |
| Other | 19 | 11% |
| Unknown | 37 | 21% |