| Title |
Identifying Drug Effects via Pathway Alterations using an Integer Linear Programming Optimization Formulation on Phosphoproteomic Data
|
|---|---|
| Published in |
PLoS Computational Biology, December 2009
|
| DOI | 10.1371/journal.pcbi.1000591 |
| Pubmed ID | |
| Authors |
Alexander Mitsos, Ioannis N. Melas, Paraskeuas Siminelakis, Aikaterini D. Chairakaki, Julio Saez-Rodriguez, Leonidas G. Alexopoulos |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 3% |
| Germany | 4 | 2% |
| United Kingdom | 3 | 2% |
| France | 2 | 1% |
| Hungary | 1 | <1% |
| Colombia | 1 | <1% |
| Sweden | 1 | <1% |
| Canada | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 151 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 49 | 28% |
| Researcher | 41 | 23% |
| Student > Master | 24 | 14% |
| Other | 9 | 5% |
| Professor > Associate Professor | 8 | 5% |
| Other | 27 | 15% |
| Unknown | 17 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 65 | 37% |
| Biochemistry, Genetics and Molecular Biology | 26 | 15% |
| Engineering | 19 | 11% |
| Computer Science | 18 | 10% |
| Medicine and Dentistry | 9 | 5% |
| Other | 14 | 8% |
| Unknown | 24 | 14% |