| Title |
Mutation Size Optimizes Speciation in an Evolutionary Model
|
|---|---|
| Published in |
PLOS ONE, August 2010
|
| DOI | 10.1371/journal.pone.0011952 |
| Pubmed ID | |
| Authors |
Nathan D. Dees, Sonya Bahar |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 8% |
| Brazil | 2 | 5% |
| Portugal | 1 | 3% |
| Germany | 1 | 3% |
| Japan | 1 | 3% |
| United Kingdom | 1 | 3% |
| Unknown | 29 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 29% |
| Researcher | 8 | 21% |
| Professor > Associate Professor | 4 | 11% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Other | 8 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 53% |
| Engineering | 4 | 11% |
| Chemical Engineering | 2 | 5% |
| Computer Science | 2 | 5% |
| Mathematics | 2 | 5% |
| Other | 8 | 21% |