| Title |
De Novo Enzyme Design Using Rosetta3
|
|---|---|
| Published in |
PLOS ONE, May 2011
|
| DOI | 10.1371/journal.pone.0019230 |
| Pubmed ID | |
| Authors |
Florian Richter, Andrew Leaver-Fay, Sagar D. Khare, Sinisa Bjelic, David Baker |
Mendeley readers
The data shown below were compiled from readership statistics for 567 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 2% |
| Germany | 3 | <1% |
| Canada | 3 | <1% |
| Spain | 3 | <1% |
| Brazil | 2 | <1% |
| United Kingdom | 2 | <1% |
| India | 2 | <1% |
| Korea, Republic of | 1 | <1% |
| Finland | 1 | <1% |
| Other | 5 | <1% |
| Unknown | 534 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 178 | 31% |
| Researcher | 96 | 17% |
| Student > Bachelor | 68 | 12% |
| Student > Master | 50 | 9% |
| Student > Doctoral Student | 21 | 4% |
| Other | 70 | 12% |
| Unknown | 84 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 145 | 26% |
| Biochemistry, Genetics and Molecular Biology | 133 | 23% |
| Chemistry | 115 | 20% |
| Engineering | 21 | 4% |
| Computer Science | 15 | 3% |
| Other | 41 | 7% |
| Unknown | 97 | 17% |