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Mendeley readers
| Title |
Inferring the effective TOR-dependent network: a computational study in yeast
|
|---|---|
| Published in |
BMC Systems Biology, August 2013
|
| DOI | 10.1186/1752-0509-7-84 |
| Pubmed ID | |
| Authors |
Shahin Mohammadi, Shankar Subramaniam, Ananth Grama |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 3% |
| United States | 1 | 3% |
| Germany | 1 | 3% |
| Brazil | 1 | 3% |
| Unknown | 27 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 32% |
| Researcher | 6 | 19% |
| Student > Bachelor | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Lecturer | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 42% |
| Biochemistry, Genetics and Molecular Biology | 7 | 23% |
| Computer Science | 4 | 13% |
| Mathematics | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 2 | 6% |