| Title |
Predicting Novel Binding Modes of Agonists to β Adrenergic Receptors Using All-Atom Molecular Dynamics Simulations
|
|---|---|
| Published in |
PLoS Computational Biology, January 2011
|
| DOI | 10.1371/journal.pcbi.1001053 |
| Pubmed ID | |
| Authors |
Stefano Vanni, Marilisa Neri, Ivano Tavernelli, Ursula Rothlisberger |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| United States | 2 | 3% |
| Brazil | 1 | 1% |
| South Africa | 1 | 1% |
| Vietnam | 1 | 1% |
| India | 1 | 1% |
| Norway | 1 | 1% |
| Japan | 1 | 1% |
| China | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 62 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 34% |
| Student > Ph. D. Student | 15 | 20% |
| Student > Master | 11 | 15% |
| Student > Bachelor | 4 | 5% |
| Student > Postgraduate | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 34% |
| Chemistry | 14 | 19% |
| Biochemistry, Genetics and Molecular Biology | 9 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 8% |
| Computer Science | 5 | 7% |
| Other | 9 | 12% |
| Unknown | 6 | 8% |