| Title |
Formulating a Historical and Demographic Model of Recent Human Evolution Based on Resequencing Data from Noncoding Regions
|
|---|---|
| Published in |
PLOS ONE, April 2010
|
| DOI | 10.1371/journal.pone.0010284 |
| Pubmed ID | |
| Authors |
Guillaume Laval, Etienne Patin, Luis B. Barreiro, Lluís Quintana-Murci |
| Abstract |
Estimating the historical and demographic parameters that characterize modern human populations is a fundamental part of reconstructing the recent history of our species. In addition, the development of a model of human evolution that can best explain neutral genetic diversity is required to identify confidently regions of the human genome that have been targeted by natural selection. |
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 % |
|---|---|---|
| Italy | 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Portugal | 2 | 1% |
| Brazil | 2 | 1% |
| United Kingdom | 2 | 1% |
| Sweden | 1 | <1% |
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Mexico | 1 | <1% |
| Canada | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 122 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 23% |
| Student > Ph. D. Student | 31 | 22% |
| Professor > Associate Professor | 17 | 12% |
| Student > Bachelor | 11 | 8% |
| Student > Master | 11 | 8% |
| Other | 27 | 19% |
| Unknown | 10 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 84 | 60% |
| Biochemistry, Genetics and Molecular Biology | 16 | 12% |
| Arts and Humanities | 6 | 4% |
| Social Sciences | 6 | 4% |
| Medicine and Dentistry | 4 | 3% |
| Other | 8 | 6% |
| Unknown | 15 | 11% |