| Title |
Differential Producibility Analysis (DPA) of Transcriptomic Data with Metabolic Networks: Deconstructing the Metabolic Response of M. tuberculosis
|
|---|---|
| Published in |
PLoS Computational Biology, June 2011
|
| DOI | 10.1371/journal.pcbi.1002060 |
| Pubmed ID | |
| Authors |
Bhushan K. Bonde, Dany J. V. Beste, Emma Laing, Andrzej M. Kierzek, Johnjoe McFadden |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Austria | 1 | 1% |
| Brazil | 1 | 1% |
| Portugal | 1 | 1% |
| India | 1 | 1% |
| United Kingdom | 1 | 1% |
| Singapore | 1 | 1% |
| South Africa | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| Other | 3 | 3% |
| Unknown | 79 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 26% |
| Student > Ph. D. Student | 19 | 20% |
| Student > Bachelor | 11 | 12% |
| Student > Master | 9 | 10% |
| Student > Postgraduate | 7 | 8% |
| Other | 16 | 17% |
| Unknown | 7 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 45% |
| Biochemistry, Genetics and Molecular Biology | 10 | 11% |
| Immunology and Microbiology | 6 | 6% |
| Computer Science | 6 | 6% |
| Engineering | 6 | 6% |
| Other | 13 | 14% |
| Unknown | 10 | 11% |