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Mendeley readers
| Title |
Identifying essential genes in bacterial metabolic networks with machine learning methods
|
|---|---|
| Published in |
BMC Systems Biology, May 2010
|
| DOI | 10.1186/1752-0509-4-56 |
| Pubmed ID | |
| Authors |
Kitiporn Plaimas, Roland Eils, Rainer König |
Mendeley readers
The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Iran, Islamic Republic of | 2 | 1% |
| Mexico | 2 | 1% |
| United Kingdom | 1 | <1% |
| India | 1 | <1% |
| Thailand | 1 | <1% |
| Germany | 1 | <1% |
| Greece | 1 | <1% |
| Japan | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 157 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 22% |
| Researcher | 30 | 18% |
| Student > Master | 24 | 14% |
| Student > Bachelor | 22 | 13% |
| Professor > Associate Professor | 10 | 6% |
| Other | 29 | 17% |
| Unknown | 18 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 66 | 39% |
| Biochemistry, Genetics and Molecular Biology | 23 | 14% |
| Computer Science | 22 | 13% |
| Engineering | 11 | 6% |
| Mathematics | 8 | 5% |
| Other | 11 | 6% |
| Unknown | 29 | 17% |