| Title |
Maximal Extraction of Biological Information from Genetic Interaction Data
|
|---|---|
| Published in |
PLoS Computational Biology, April 2009
|
| DOI | 10.1371/journal.pcbi.1000347 |
| Pubmed ID | |
| Authors |
Gregory W. Carter, David J. Galas, Timothy Galitski |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 6% |
| Slovenia | 2 | 2% |
| Portugal | 1 | 1% |
| United Kingdom | 1 | 1% |
| Brazil | 1 | 1% |
| Russia | 1 | 1% |
| Sweden | 1 | 1% |
| Unknown | 74 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 29% |
| Researcher | 21 | 24% |
| Professor > Associate Professor | 10 | 12% |
| Professor | 10 | 12% |
| Other | 4 | 5% |
| Other | 11 | 13% |
| Unknown | 5 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 47% |
| Computer Science | 12 | 14% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Medicine and Dentistry | 6 | 7% |
| Engineering | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 8 | 9% |