Title |
Predicting Cellular Growth from Gene Expression Signatures
|
---|---|
Published in |
PLoS Computational Biology, January 2009
|
DOI | 10.1371/journal.pcbi.1000257 |
Pubmed ID | |
Authors |
Edoardo M. Airoldi, Curtis Huttenhower, David Gresham, Charles Lu, Amy A. Caudy, Maitreya J. Dunham, James R. Broach, David Botstein, Olga G. Troyanskaya |
Mendeley readers
The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 15 | 7% |
Germany | 2 | <1% |
France | 2 | <1% |
Mexico | 2 | <1% |
Israel | 1 | <1% |
United Kingdom | 1 | <1% |
Australia | 1 | <1% |
Netherlands | 1 | <1% |
Canada | 1 | <1% |
Other | 2 | <1% |
Unknown | 183 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 67 | 32% |
Researcher | 55 | 26% |
Student > Master | 16 | 8% |
Professor > Associate Professor | 13 | 6% |
Professor | 12 | 6% |
Other | 34 | 16% |
Unknown | 14 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 116 | 55% |
Biochemistry, Genetics and Molecular Biology | 25 | 12% |
Computer Science | 11 | 5% |
Engineering | 9 | 4% |
Physics and Astronomy | 8 | 4% |
Other | 24 | 11% |
Unknown | 18 | 9% |