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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic diversity and the emergence of ethnic groups in Central Asia
|
|---|---|
| Published in |
BMC Genomic Data, September 2009
|
| DOI | 10.1186/1471-2156-10-49 |
| Pubmed ID | |
| Authors |
Evelyne Heyer, Patricia Balaresque, Mark A Jobling, Lluis Quintana-Murci, Raphaelle Chaix, Laure Segurel, Almaz Aldashev, Tanya Hegay |
| Abstract |
In this study, we used genetic data that we collected in Central Asia, in addition to data from the literature, to understand better the origins of Central Asian groups at a fine-grained scale, and to assess how ethnicity influences the shaping of genetic differences in the human species. We assess the levels of genetic differentiation between ethnic groups on one hand and between populations of the same ethnic group on the other hand with mitochondrial and Y-chromosomal data from several populations per ethnic group from the two major linguistic groups in Central Asia. |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 1 | 17% |
| United States | 1 | 17% |
| Fiji | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| United States | 3 | 3% |
| Netherlands | 1 | 1% |
| Spain | 1 | 1% |
| Unknown | 84 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 22% |
| Student > Ph. D. Student | 19 | 21% |
| Student > Master | 9 | 10% |
| Student > Bachelor | 7 | 8% |
| Professor | 7 | 8% |
| Other | 22 | 24% |
| Unknown | 8 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 37% |
| Biochemistry, Genetics and Molecular Biology | 12 | 13% |
| Social Sciences | 9 | 10% |
| Arts and Humanities | 6 | 7% |
| Linguistics | 3 | 3% |
| Other | 14 | 15% |
| Unknown | 14 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 31 March 2024.
All research outputs
#1,363,214
of 25,374,647 outputs
Outputs from BMC Genomic Data
#28
of 1,204 outputs
Outputs of similar age
#3,806
of 102,318 outputs
Outputs of similar age from BMC Genomic Data
#3
of 9 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. 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 102,318 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 96% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.