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The GenoChip: A New Tool for Genetic Anthropology

Overview of attention for article published in Genome Biology & Evolution, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
11 tweeters
facebook
6 Facebook pages
wikipedia
3 Wikipedia pages

Readers on

mendeley
85 Mendeley
citeulike
4 CiteULike
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Title
The GenoChip: A New Tool for Genetic Anthropology
Published in
Genome Biology & Evolution, January 2013
DOI 10.1093/gbe/evt066
Pubmed ID
Authors

R. Spencer Wells, Elhaik E, Greenspan E, Staats S, Krahn T, Tyler-Smith C, Xue Y, Tofanelli S, Francalacci P, Cucca F, Pagani L, Jin L, Li H, Schurr TG, Greenspan B, Wells RS, E. Elhaik, E. Greenspan, S. Staats, T. Krahn, C. Tyler-Smith, Y. Xue, S. Tofanelli, P. Francalacci, F. Cucca, L. Pagani, L. Jin, H. Li, T. G. Schurr, B. Greenspan

Abstract

The Genographic Project is an international effort aimed at charting human migratory history. The project is nonprofit and nonmedical, and, through its Legacy Fund, supports locally led efforts to preserve indigenous and traditional cultures. Although the first phase of the project was focused on uniparentally inherited markers on the Y-chromosome and mitochondrial DNA (mtDNA), the current phase focuses on markers from across the entire genome to obtain a more complete understanding of human genetic variation. Although many commercial arrays exist for genome-wide single-nucleotide polymorphism (SNP) genotyping, they were designed for medical genetic studies and contain medically related markers that are inappropriate for global population genetic studies. GenoChip, the Genographic Project's new genotyping array, was designed to resolve these issues and enable higher resolution research into outstanding questions in genetic anthropology. The GenoChip includes ancestry informative markers obtained for over 450 human populations, an ancient human (Saqqaq), and two archaic hominins (Neanderthal and Denisovan) and was designed to identify all known Y-chromosome and mtDNA haplogroups. The chip was carefully vetted to avoid inclusion of medically relevant markers. To demonstrate its capabilities, we compared the FST distributions of GenoChip SNPs to those of two commercial arrays. Although all arrays yielded similarly shaped (inverse J) FST distributions, the GenoChip autosomal and X-chromosomal distributions had the highest mean FST, attesting to its ability to discern subpopulations. The chip performances are illustrated in a principal component analysis for 14 worldwide populations. In summary, the GenoChip is a dedicated genotyping platform for genetic anthropology. With an unprecedented number of approximately 12,000 Y-chromosomal and approximately 3,300 mtDNA SNPs and over 130,000 autosomal and X-chromosomal SNPs without any known health, medical, or phenotypic relevance, the GenoChip is a useful tool for genetic anthropology and population genetics.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 4%
Spain 1 1%
Germany 1 1%
Kazakhstan 1 1%
Denmark 1 1%
Ireland 1 1%
United States 1 1%
Czech Republic 1 1%
Unknown 75 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 28%
Researcher 23 27%
Student > Bachelor 8 9%
Student > Doctoral Student 6 7%
Professor 5 6%
Other 19 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 52%
Biochemistry, Genetics and Molecular Biology 17 20%
Unspecified 6 7%
Computer Science 3 4%
Arts and Humanities 3 4%
Other 12 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 13 November 2014.
All research outputs
#487,590
of 7,023,320 outputs
Outputs from Genome Biology & Evolution
#105
of 1,184 outputs
Outputs of similar age
#9,579
of 115,874 outputs
Outputs of similar age from Genome Biology & Evolution
#1
of 10 outputs
Altmetric has tracked 7,023,320 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,184 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 91% 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 115,874 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 91% 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. This one has scored higher than all of them