| Title |
Allosteric Transitions of Supramolecular Systems Explored by Network Models: Application to Chaperonin GroEL
|
|---|---|
| Published in |
PLoS Computational Biology, April 2009
|
| DOI | 10.1371/journal.pcbi.1000360 |
| Pubmed ID | |
| Authors |
Zheng Yang, Peter Májek, Ivet Bahar |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| United Kingdom | 3 | 3% |
| Turkey | 2 | 2% |
| Italy | 1 | <1% |
| Hong Kong | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Norway | 1 | <1% |
| Sweden | 1 | <1% |
| Estonia | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 87 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 33% |
| Student > Ph. D. Student | 32 | 31% |
| Student > Master | 9 | 9% |
| Professor > Associate Professor | 6 | 6% |
| Student > Postgraduate | 5 | 5% |
| Other | 11 | 11% |
| Unknown | 6 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 34% |
| Chemistry | 19 | 18% |
| Biochemistry, Genetics and Molecular Biology | 15 | 15% |
| Physics and Astronomy | 12 | 12% |
| Computer Science | 4 | 4% |
| Other | 11 | 11% |
| Unknown | 7 | 7% |