| Title |
An Automated Phenotype-Driven Approach (GeneForce) for Refining Metabolic and Regulatory Models
|
|---|---|
| Published in |
PLoS Computational Biology, October 2010
|
| DOI | 10.1371/journal.pcbi.1000970 |
| Pubmed ID | |
| Authors |
Dipak Barua, Joonhoon Kim, Jennifer L. Reed |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 8% |
| Germany | 2 | 1% |
| Singapore | 1 | <1% |
| France | 1 | <1% |
| Mexico | 1 | <1% |
| Luxembourg | 1 | <1% |
| Unknown | 124 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 30% |
| Student > Ph. D. Student | 35 | 25% |
| Student > Master | 18 | 13% |
| Professor > Associate Professor | 12 | 8% |
| Professor | 10 | 7% |
| Other | 16 | 11% |
| Unknown | 9 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 67 | 47% |
| Engineering | 16 | 11% |
| Biochemistry, Genetics and Molecular Biology | 15 | 11% |
| Computer Science | 12 | 8% |
| Chemical Engineering | 7 | 5% |
| Other | 12 | 8% |
| Unknown | 13 | 9% |