| Title |
Expression-Based Network Biology Identifies Alteration in Key Regulatory Pathways of Type 2 Diabetes and Associated Risk/Complications
|
|---|---|
| Published in |
PLOS ONE, December 2009
|
| DOI | 10.1371/journal.pone.0008100 |
| Pubmed ID | |
| Authors |
Urmi Sengupta, Sanchaita Ukil, Nevenka Dimitrova, Shipra Agrawal |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 2% |
| Portugal | 1 | 1% |
| Italy | 1 | 1% |
| United Kingdom | 1 | 1% |
| Belgium | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 81 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 26% |
| Researcher | 20 | 22% |
| Student > Bachelor | 9 | 10% |
| Student > Master | 6 | 7% |
| Professor | 5 | 6% |
| Other | 16 | 18% |
| Unknown | 10 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 35% |
| Medicine and Dentistry | 20 | 22% |
| Biochemistry, Genetics and Molecular Biology | 15 | 17% |
| Nursing and Health Professions | 2 | 2% |
| Computer Science | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 16 | 18% |