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Mendeley readers
| Title |
A quality metric for homology modeling: the H-factor
|
|---|---|
| Published in |
BMC Bioinformatics, February 2011
|
| DOI | 10.1186/1471-2105-12-48 |
| Pubmed ID | |
| Authors |
Eric di Luccio, Patrice Koehl |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 3 | 2% |
| Malaysia | 1 | <1% |
| Pakistan | 1 | <1% |
| Germany | 1 | <1% |
| Italy | 1 | <1% |
| South Africa | 1 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 126 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 28% |
| Student > Master | 23 | 16% |
| Researcher | 20 | 14% |
| Student > Bachelor | 17 | 12% |
| Student > Postgraduate | 8 | 6% |
| Other | 16 | 11% |
| Unknown | 17 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 64 | 46% |
| Biochemistry, Genetics and Molecular Biology | 18 | 13% |
| Chemistry | 13 | 9% |
| Computer Science | 11 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 4% |
| Other | 11 | 8% |
| Unknown | 18 | 13% |