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X Demographics
Mendeley readers
Attention Score in Context
| 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% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2014.
All research outputs
#2,337,799
of 23,498,521 outputs
Outputs from PLOS ONE
#29,525
of 201,187 outputs
Outputs of similar age
#8,587
of 96,766 outputs
Outputs of similar age from PLOS ONE
#131
of 697 outputs
Altmetric has tracked 23,498,521 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 201,187 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 96,766 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 697 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.