| Title |
Population-specific common SNPs reflect demographic histories and highlight regions of genomic plasticity with functional relevance
|
|---|---|
| Published in |
BMC Genomics, June 2014
|
| DOI | 10.1186/1471-2164-15-437 |
| Pubmed ID | |
| Authors |
Ananyo Choudhury, Scott Hazelhurst, Ayton Meintjes, Ovokeraye Achinike-Oduaran, Shaun Aron, Junaid Gamieldien, Mahjoubeh Jalali Sefid Dashti, Nicola Mulder, Nicki Tiffin, Michèle Ramsay |
| Abstract |
Population differentiation is the result of demographic and evolutionary forces. Whole genome datasets from the 1000 Genomes Project (October 2012) provide an unbiased view of genetic variation across populations from Europe, Asia, Africa and the Americas. Common population-specific SNPs (MAF > 0.05) reflect a deep history and may have important consequences for health and wellbeing. Their interpretation is contextualised by currently available genome data. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 33% |
| Nigeria | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Portugal | 1 | <1% |
| Sri Lanka | 1 | <1% |
| Thailand | 1 | <1% |
| Unknown | 152 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 25% |
| Researcher | 29 | 19% |
| Student > Master | 16 | 10% |
| Student > Bachelor | 13 | 8% |
| Professor > Associate Professor | 10 | 6% |
| Other | 22 | 14% |
| Unknown | 27 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 32% |
| Biochemistry, Genetics and Molecular Biology | 48 | 31% |
| Medicine and Dentistry | 11 | 7% |
| Computer Science | 3 | 2% |
| Veterinary Science and Veterinary Medicine | 2 | 1% |
| Other | 12 | 8% |
| Unknown | 30 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 July 2021.
All research outputs
#14,832,116
of 24,862,067 outputs
Outputs from BMC Genomics
#5,313
of 11,092 outputs
Outputs of similar age
#117,059
of 234,122 outputs
Outputs of similar age from BMC Genomics
#81
of 207 outputs
Altmetric has tracked 24,862,067 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,092 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 234,122 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 207 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.