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Mendeley readers
| Title |
Using genetic markers to orient the edges in quantitative trait networks: The NEO software
|
|---|---|
| Published in |
BMC Systems Biology, April 2008
|
| DOI | 10.1186/1752-0509-2-34 |
| Pubmed ID | |
| Authors |
Jason E Aten, Tova F Fuller, Aldons J Lusis, Steve Horvath |
Mendeley readers
The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 6% |
| Brazil | 2 | 1% |
| United Kingdom | 2 | 1% |
| Spain | 2 | 1% |
| Italy | 1 | <1% |
| Argentina | 1 | <1% |
| Sweden | 1 | <1% |
| Norway | 1 | <1% |
| China | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 158 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 52 | 29% |
| Researcher | 44 | 24% |
| Student > Master | 24 | 13% |
| Professor > Associate Professor | 14 | 8% |
| Professor | 9 | 5% |
| Other | 19 | 11% |
| Unknown | 18 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 83 | 46% |
| Computer Science | 23 | 13% |
| Biochemistry, Genetics and Molecular Biology | 20 | 11% |
| Medicine and Dentistry | 12 | 7% |
| Mathematics | 5 | 3% |
| Other | 15 | 8% |
| Unknown | 22 | 12% |