| Title |
GrowMatch: An Automated Method for Reconciling In Silico/In Vivo Growth Predictions
|
|---|---|
| Published in |
PLoS Computational Biology, March 2009
|
| DOI | 10.1371/journal.pcbi.1000308 |
| Pubmed ID | |
| Authors |
Vinay Satish Kumar, Costas D. Maranas |
Mendeley readers
The data shown below were compiled from readership statistics for 305 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 4% |
| Latvia | 3 | <1% |
| Iran, Islamic Republic of | 2 | <1% |
| Portugal | 1 | <1% |
| Hungary | 1 | <1% |
| France | 1 | <1% |
| Chile | 1 | <1% |
| United Kingdom | 1 | <1% |
| Iceland | 1 | <1% |
| Other | 9 | 3% |
| Unknown | 274 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 90 | 30% |
| Researcher | 73 | 24% |
| Student > Master | 45 | 15% |
| Student > Bachelor | 16 | 5% |
| Professor > Associate Professor | 15 | 5% |
| Other | 37 | 12% |
| Unknown | 29 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 107 | 35% |
| Biochemistry, Genetics and Molecular Biology | 52 | 17% |
| Engineering | 39 | 13% |
| Computer Science | 19 | 6% |
| Chemical Engineering | 13 | 4% |
| Other | 33 | 11% |
| Unknown | 42 | 14% |