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Mendeley readers
| Title |
Model-driven analysis of experimentally determined growth phenotypes for 465 yeast gene deletion mutants under 16 different conditions
|
|---|---|
| Published in |
Genome Biology, September 2008
|
| DOI | 10.1186/gb-2008-9-9-r140 |
| Pubmed ID | |
| Authors |
Evan S Snitkin, Aimée M Dudley, Daniel M Janse, Kaisheen Wong, George M Church, Daniel Segrè |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 5% |
| United Kingdom | 3 | 2% |
| Portugal | 1 | <1% |
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| Hungary | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 128 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 28% |
| Student > Ph. D. Student | 38 | 26% |
| Student > Master | 23 | 15% |
| Professor | 9 | 6% |
| Professor > Associate Professor | 9 | 6% |
| Other | 23 | 15% |
| Unknown | 5 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 82 | 55% |
| Biochemistry, Genetics and Molecular Biology | 26 | 17% |
| Engineering | 11 | 7% |
| Computer Science | 8 | 5% |
| Immunology and Microbiology | 3 | 2% |
| Other | 10 | 7% |
| Unknown | 9 | 6% |