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Genetic differences among ethnic groups

Overview of attention for article published in BMC Genomics, December 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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2 blogs
twitter
50 X users
patent
3 patents
wikipedia
1 Wikipedia page

Citations

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111 Dimensions

Readers on

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219 Mendeley
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Title
Genetic differences among ethnic groups
Published in
BMC Genomics, December 2015
DOI 10.1186/s12864-015-2328-0
Pubmed ID
Authors

Tao Huang, Yang Shu, Yu-Dong Cai

Abstract

Many differences between different ethnic groups have been observed, such as skin color, eye color, height, susceptibility to some diseases, and response to certain drugs. However, the genetic bases of such differences have been under-investigated. Since the HapMap project, large-scale genotype data from Caucasian, African and Asian population samples have been available. The project found that these populations were located in different areas of the PCA (Principal Component Analysis) plot. However, as an unsupervised method, PCA does not measure the differences in each single nucleotide polymorphism (SNP) among populations. We applied an advanced mutual information-based feature selection method to detect associations between SNP status and ethnic groups using the latest HapMap Phase 3 release version 3, which included more sub-populations. A total of 299 SNPs were identified, and they can accurately predicted the ethnicity of all HapMap populations. The 10-fold cross validation accuracy of the SMO (sequential minimal optimization) model on training dataset was 0.901, and the accuracy on independent test dataset was 0.895. In-depth functional analysis of these SNPs and their nearby genes revealed the genetic bases of skin and eye color differences among populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 50 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
South Africa 1 <1%
Canada 1 <1%
Saudi Arabia 1 <1%
Unknown 215 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 36 16%
Student > Ph. D. Student 27 12%
Student > Master 27 12%
Researcher 26 12%
Student > Postgraduate 12 5%
Other 33 15%
Unknown 58 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 58 26%
Medicine and Dentistry 30 14%
Agricultural and Biological Sciences 22 10%
Computer Science 7 3%
Social Sciences 5 2%
Other 24 11%
Unknown 73 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 60. 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 May 2024.
All research outputs
#723,534
of 25,850,376 outputs
Outputs from BMC Genomics
#73
of 11,347 outputs
Outputs of similar age
#12,040
of 398,547 outputs
Outputs of similar age from BMC Genomics
#2
of 324 outputs
Altmetric has tracked 25,850,376 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,347 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 99% 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 398,547 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 324 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 99% of its contemporaries.