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% |