| Title |
Quantitative Epistasis Analysis and Pathway Inference from Genetic Interaction Data
|
|---|---|
| Published in |
PLoS Computational Biology, May 2011
|
| DOI | 10.1371/journal.pcbi.1002048 |
| Pubmed ID | |
| Authors |
Hilary Phenix, Katy Morin, Cory Batenchuk, Jacob Parker, Vida Abedi, Liu Yang, Lioudmila Tepliakova, Theodore J. Perkins, Mads Kærn |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 6% |
| France | 2 | 2% |
| Slovenia | 2 | 2% |
| Brazil | 1 | <1% |
| India | 1 | <1% |
| Mexico | 1 | <1% |
| Moldova, Republic of | 1 | <1% |
| Japan | 1 | <1% |
| Philippines | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 89 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 30% |
| Researcher | 26 | 25% |
| Student > Master | 10 | 10% |
| Professor > Associate Professor | 9 | 9% |
| Professor | 8 | 8% |
| Other | 15 | 14% |
| Unknown | 5 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 60 | 57% |
| Biochemistry, Genetics and Molecular Biology | 13 | 12% |
| Computer Science | 11 | 10% |
| Engineering | 4 | 4% |
| Mathematics | 2 | 2% |
| Other | 8 | 8% |
| Unknown | 7 | 7% |