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Mendeley readers
Title |
Utilizing elementary mode analysis, pathway thermodynamics, and a genetic algorithm for metabolic flux determination and optimal metabolic network design
|
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Published in |
BMC Systems Biology, April 2010
|
DOI | 10.1186/1752-0509-4-49 |
Pubmed ID | |
Authors |
Brett A Boghigian, Hai Shi, Kyongbum Lee, Blaine A Pfeifer |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 3 | 2% |
United States | 2 | 1% |
Netherlands | 2 | 1% |
Switzerland | 1 | <1% |
Indonesia | 1 | <1% |
France | 1 | <1% |
Italy | 1 | <1% |
Germany | 1 | <1% |
Australia | 1 | <1% |
Other | 7 | 4% |
Unknown | 139 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 44 | 28% |
Researcher | 31 | 19% |
Student > Master | 15 | 9% |
Student > Doctoral Student | 14 | 9% |
Student > Bachelor | 10 | 6% |
Other | 33 | 21% |
Unknown | 12 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 71 | 45% |
Biochemistry, Genetics and Molecular Biology | 20 | 13% |
Engineering | 18 | 11% |
Computer Science | 11 | 7% |
Chemical Engineering | 8 | 5% |
Other | 12 | 8% |
Unknown | 19 | 12% |