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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Extremely Rare Interbreeding Events Can Explain Neanderthal DNA in Living Humans
|
|---|---|
| Published in |
PLOS ONE, October 2012
|
| DOI | 10.1371/journal.pone.0047076 |
| Pubmed ID | |
| Authors |
Armando G. M. Neves, Maurizio Serva |
| Abstract |
Considering the recent experimental discovery of Green et al that present-day non-Africans have 1 to [Formula: see text] of their nuclear DNA of Neanderthal origin, we propose here a model which is able to quantify the genetic interbreeding between two subpopulations with equal fitness, living in the same geographic region. The model consists of a solvable system of deterministic ordinary differential equations containing as a stochastic ingredient a realization of the neutral Wright-Fisher process. By simulating the stochastic part of the model we are able to apply it to the interbreeding of the African ancestors of Eurasians and Middle Eastern Neanderthal subpopulations and estimate the only parameter of the model, which is the number of individuals per generation exchanged between subpopulations. Our results indicate that the amount of Neanderthal DNA in living non-Africans can be explained with maximum probability by the exchange of a single pair of individuals between the subpopulations at each 77 generations, but larger exchange frequencies are also allowed with sizeable probability. The results are compatible with a long coexistence time of 130,000 years, a total interbreeding population of order [Formula: see text] individuals, and with all living humans being descendants of Africans both for mitochondrial DNA and Y chromosome. |
X Demographics
The data shown below were collected from the profiles of 106 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 30 | 28% |
| United Kingdom | 8 | 8% |
| Canada | 5 | 5% |
| Japan | 3 | 3% |
| Spain | 3 | 3% |
| Australia | 3 | 3% |
| Denmark | 2 | 2% |
| Germany | 1 | <1% |
| Finland | 1 | <1% |
| Other | 11 | 10% |
| Unknown | 39 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 77 | 73% |
| Scientists | 20 | 19% |
| Science communicators (journalists, bloggers, editors) | 8 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| United Kingdom | 3 | 2% |
| Germany | 2 | 1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Portugal | 1 | <1% |
| Canada | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 120 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 26% |
| Student > Bachelor | 25 | 18% |
| Student > Ph. D. Student | 23 | 17% |
| Student > Master | 10 | 7% |
| Professor > Associate Professor | 9 | 7% |
| Other | 25 | 18% |
| Unknown | 10 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 35% |
| Arts and Humanities | 30 | 22% |
| Social Sciences | 14 | 10% |
| Biochemistry, Genetics and Molecular Biology | 12 | 9% |
| Psychology | 3 | 2% |
| Other | 15 | 11% |
| Unknown | 15 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 125. 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 16 March 2024.
All research outputs
#337,118
of 25,587,485 outputs
Outputs from PLOS ONE
#4,794
of 223,159 outputs
Outputs of similar age
#1,750
of 202,280 outputs
Outputs of similar age from PLOS ONE
#70
of 4,840 outputs
Altmetric has tracked 25,587,485 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 223,159 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 97% 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 202,280 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 99% of its contemporaries.
We're also able to compare this research output to 4,840 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.