| Title |
Genetic structure in four West African population groups
|
|---|---|
| Published in |
BMC Genomic Data, June 2005
|
| DOI | 10.1186/1471-2156-6-38 |
| Pubmed ID | |
| Authors |
Adebowale A Adeyemo, Guanjie Chen, Yuanxiu Chen, Charles Rotimi |
| Abstract |
Africa contains the most genetically divergent group of continental populations and several studies have reported that African populations show a high degree of population stratification. In this regard, it is important to investigate the potential for population genetic structure or stratification in genetic epidemiology studies involving multiple African populations. The presences of genetic sub-structure, if not properly accounted for, have been reported to lead to spurious association between a putative risk allele and a disease. Within the context of the Africa America Diabetes Mellitus (AADM) Study (a genetic epidemiologic study of type 2 diabetes mellitus in West Africa), we have investigated population structure or stratification in four ethnic groups in two countries (Akan and Gaa-Adangbe from Ghana, Yoruba and Igbo from Nigeria) using data from 372 autosomal microsatellite loci typed in 493 unrelated persons (986 chromosomes). |
X Demographics
The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nigeria | 7 | 25% |
| United States | 2 | 7% |
| Solomon Islands | 1 | 4% |
| Switzerland | 1 | 4% |
| Liberia | 1 | 4% |
| Unknown | 16 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 89% |
| Practitioners (doctors, other healthcare professionals) | 2 | 7% |
| Scientists | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 2 | 3% |
| United States | 1 | 2% |
| Ghana | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 60 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 18% |
| Researcher | 12 | 18% |
| Student > Master | 6 | 9% |
| Professor | 5 | 8% |
| Student > Bachelor | 5 | 8% |
| Other | 16 | 25% |
| Unknown | 9 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 29% |
| Biochemistry, Genetics and Molecular Biology | 12 | 18% |
| Medicine and Dentistry | 8 | 12% |
| Computer Science | 2 | 3% |
| Arts and Humanities | 1 | 2% |
| Other | 7 | 11% |
| Unknown | 16 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 24 December 2023.
All research outputs
#1,493,232
of 25,753,578 outputs
Outputs from BMC Genomic Data
#31
of 1,210 outputs
Outputs of similar age
#2,062
of 68,060 outputs
Outputs of similar age from BMC Genomic Data
#1
of 3 outputs
Altmetric has tracked 25,753,578 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 1,210 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.
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We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them