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Contrasting signals of positive selection in genes involved in human skin-color variation from tests based on SNP scans and resequencing

Overview of attention for article published in Investigative Genetics, December 2011
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)

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52 Mendeley
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Title
Contrasting signals of positive selection in genes involved in human skin-color variation from tests based on SNP scans and resequencing
Published in
Investigative Genetics, December 2011
DOI 10.1186/2041-2223-2-24
Pubmed ID
Authors

Johanna Maria de Gruijter, Oscar Lao, Mark Vermeulen, Yali Xue, Cara Woodwark, Christopher J Gillson, Alison J Coffey, Qasim Ayub, S Qasim Mehdi, Manfred Kayser, Chris Tyler-Smith

Abstract

Numerous genome-wide scans conducted by genotyping previously ascertained single-nucleotide polymorphisms (SNPs) have provided candidate signatures for positive selection in various regions of the human genome, including in genes involved in pigmentation traits. However, it is unclear how well the signatures discovered by such haplotype-based test statistics can be reproduced in tests based on full resequencing data. Four genes (oculocutaneous albinism II (OCA2), tyrosinase-related protein 1 (TYRP1), dopachrome tautomerase (DCT), and KIT ligand (KITLG)) implicated in human skin-color variation, have shown evidence for positive selection in Europeans and East Asians in previous SNP-scan data. In the current study, we resequenced 4.7 to 6.7 kb of DNA from each of these genes in Africans, Europeans, East Asians, and South Asians.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Turkey 1 2%
Malaysia 1 2%
Netherlands 1 2%
United States 1 2%
Unknown 47 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 27%
Student > Ph. D. Student 13 25%
Student > Bachelor 5 10%
Student > Master 3 6%
Student > Doctoral Student 2 4%
Other 5 10%
Unknown 10 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 44%
Biochemistry, Genetics and Molecular Biology 11 21%
Medicine and Dentistry 2 4%
Psychology 2 4%
Linguistics 1 2%
Other 4 8%
Unknown 9 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 07 December 2011.
All research outputs
#3,677,150
of 22,659,164 outputs
Outputs from Investigative Genetics
#53
of 97 outputs
Outputs of similar age
#30,664
of 240,213 outputs
Outputs of similar age from Investigative Genetics
#9
of 10 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 97 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.1. This one is in the 45th percentile – i.e., 45% 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 240,213 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.