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Genetic structure in the Sherpa and neighboring Nepalese populations

Overview of attention for article published in BMC Genomics, January 2017
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
9 X users
wikipedia
3 Wikipedia pages

Citations

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21 Dimensions

Readers on

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46 Mendeley
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2 CiteULike
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Title
Genetic structure in the Sherpa and neighboring Nepalese populations
Published in
BMC Genomics, January 2017
DOI 10.1186/s12864-016-3469-5
Pubmed ID
Authors

Amy M. Cole, Sean Cox, Choongwon Jeong, Nayia Petousi, Dhana R. Aryal, Yunden Droma, Masayuki Hanaoka, Masao Ota, Nobumitsu Kobayashi, Paolo Gasparini, Hugh Montgomery, Peter Robbins, Anna Di Rienzo, Gianpiero L. Cavalleri

Abstract

We set out to describe the fine-scale population structure across the Eastern region of Nepal. To date there is relatively little known about the genetic structure of the Sherpa residing in Nepal and their genetic relationship with the Nepalese. We assembled dense genotype data from a total of 1245 individuals representing Nepal and a variety of different populations resident across the greater Himalayan region including Tibet, China, India, Pakistan, Kazakhstan, Uzbekistan, Tajikistan and Kirghizstan. We performed analysis of principal components, admixture and homozygosity. We identified clear substructure across populations resident in the Himalayan arc, with genetic structure broadly mirroring geographical features of the region. Ethnic subgroups within Nepal show distinct genetic structure, on both admixture and principal component analysis. We detected differential proportions of ancestry from northern Himalayan populations across Nepalese subgroups, with the Nepalese Rai, Magar and Tamang carrying the greatest proportions of Tibetan ancestry. We show that populations dwelling on the Himalayan plateau have had a clear impact on the Northern Indian gene pool. We illustrate how the Sherpa are a remarkably isolated population, with little gene flow from surrounding Nepalese populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Student > Master 8 17%
Student > Bachelor 4 9%
Researcher 4 9%
Other 2 4%
Other 1 2%
Unknown 14 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 20%
Medicine and Dentistry 7 15%
Agricultural and Biological Sciences 6 13%
Social Sciences 4 9%
Psychology 1 2%
Other 3 7%
Unknown 16 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 26 January 2022.
All research outputs
#2,254,025
of 25,601,426 outputs
Outputs from BMC Genomics
#565
of 11,288 outputs
Outputs of similar age
#44,623
of 421,806 outputs
Outputs of similar age from BMC Genomics
#18
of 217 outputs
Altmetric has tracked 25,601,426 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,288 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 95% 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 421,806 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 89% of its contemporaries.
We're also able to compare this research output to 217 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 92% of its contemporaries.