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Mendeley readers
| Title |
Toward knowledge support for analysis and interpretation of complex traits
|
|---|---|
| Published in |
Genome Biology, September 2013
|
| DOI | 10.1186/gb-2013-14-9-214 |
| Pubmed ID | |
| Authors |
Nigel Collier, Anika Oellrich, Tudor Groza |
| Abstract |
The systematic description of complex traits, from the organism to the cellular level, is important for hypothesis generation about underlying disease mechanisms. We discuss how intelligent algorithms might provide support, leading to faster throughput. |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 11% |
| Netherlands | 1 | 3% |
| Portugal | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 28 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 37% |
| Student > Ph. D. Student | 8 | 23% |
| Student > Master | 5 | 14% |
| Professor > Associate Professor | 3 | 9% |
| Professor | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 43% |
| Computer Science | 8 | 23% |
| Medicine and Dentistry | 4 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Psychology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 3 | 9% |