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Mendeley readers
| Title |
eQTL Epistasis – Challenges and Computational Approaches
|
|---|---|
| Published in |
Frontiers in Genetics, January 2013
|
| DOI | 10.3389/fgene.2013.00051 |
| Pubmed ID | |
| Authors |
Yang Huang, Stefan Wuchty, Teresa M. Przytycka |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| Moldova, Republic of | 1 | 1% |
| Canada | 1 | 1% |
| New Zealand | 1 | 1% |
| Denmark | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 69 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 45% |
| Researcher | 14 | 18% |
| Student > Master | 10 | 13% |
| Student > Doctoral Student | 5 | 7% |
| Student > Bachelor | 4 | 5% |
| Other | 8 | 11% |
| Unknown | 1 | 1% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 42% |
| Biochemistry, Genetics and Molecular Biology | 17 | 22% |
| Computer Science | 11 | 14% |
| Medicine and Dentistry | 7 | 9% |
| Engineering | 2 | 3% |
| Other | 4 | 5% |
| Unknown | 3 | 4% |