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Mendeley readers
| Title |
A graphical model approach for inferring large-scale networks integrating gene expression and genetic polymorphism
|
|---|---|
| Published in |
BMC Systems Biology, May 2009
|
| DOI | 10.1186/1752-0509-3-55 |
| Pubmed ID | |
| Authors |
Jen-hwa Chu, Scott T Weiss, Vincent J Carey, Benjamin A Raby |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 6% |
| Germany | 2 | 2% |
| Brazil | 2 | 2% |
| Portugal | 2 | 2% |
| United Kingdom | 1 | 1% |
| Israel | 1 | 1% |
| Greece | 1 | 1% |
| China | 1 | 1% |
| Unknown | 72 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 29% |
| Researcher | 22 | 25% |
| Professor > Associate Professor | 11 | 13% |
| Student > Master | 8 | 9% |
| Professor | 5 | 6% |
| Other | 13 | 15% |
| Unknown | 3 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 44% |
| Computer Science | 9 | 10% |
| Medicine and Dentistry | 8 | 9% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Mathematics | 6 | 7% |
| Other | 12 | 14% |
| Unknown | 8 | 9% |