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Differentiated demographic histories and local adaptations between Sherpas and Tibetans

Overview of attention for article published in Genome Biology, June 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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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2 blogs
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65 Mendeley
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Title
Differentiated demographic histories and local adaptations between Sherpas and Tibetans
Published in
Genome Biology, June 2017
DOI 10.1186/s13059-017-1242-y
Pubmed ID
Authors

Chao Zhang, Yan Lu, Qidi Feng, Xiaoji Wang, Haiyi Lou, Jiaojiao Liu, Zhilin Ning, Kai Yuan, Yuchen Wang, Ying Zhou, Lian Deng, Lijun Liu, Yajun Yang, Shilin Li, Lifeng Ma, Zhiying Zhang, Li Jin, Bing Su, Longli Kang, Shuhua Xu

Abstract

The genetic relationships reported by recent studies between Sherpas and Tibetans are controversial. To gain insights into the population history and the genetic basis of high-altitude adaptation of the two groups, we analyzed genome-wide data in 111 Sherpas (Tibet and Nepal) and 177 Tibetans (Tibet and Qinghai), together with available data from present-day human populations. Sherpas and Tibetans show considerable genetic differences and can be distinguished as two distinct groups, even though the divergence between them (~3200-11,300 years ago) is much later than that between Han Chinese and either of the two groups (~6200-16,000 years ago). Sub-population structures exist in both Sherpas and Tibetans, corresponding to geographical or linguistic groups. Differentiation of genetic variants between Sherpas and Tibetans associated with adaptation to either high-altitude or ultraviolet radiation were identified and validated by genotyping additional Sherpa and Tibetan samples. Our analyses indicate that both Sherpas and Tibetans are admixed populations, but the findings do not support the previous hypothesis that Tibetans derive their ancestry from Sherpas and Han Chinese. Compared to Tibetans, Sherpas show higher levels of South Asian ancestry, while Tibetans show higher levels of East Asian and Central Asian/Siberian ancestry. We propose a new model to elucidate the differentiated demographic histories and local adaptations of Sherpas and Tibetans.

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Mendeley readers

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 %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 26%
Researcher 10 15%
Student > Doctoral Student 4 6%
Student > Bachelor 4 6%
Professor > Associate Professor 4 6%
Other 7 11%
Unknown 19 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 28%
Biochemistry, Genetics and Molecular Biology 14 22%
Medicine and Dentistry 6 9%
Environmental Science 2 3%
Social Sciences 2 3%
Other 3 5%
Unknown 20 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 25 May 2021.
All research outputs
#1,338,785
of 25,382,440 outputs
Outputs from Genome Biology
#1,048
of 4,468 outputs
Outputs of similar age
#26,603
of 331,395 outputs
Outputs of similar age from Genome Biology
#20
of 65 outputs
Altmetric has tracked 25,382,440 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 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 76% 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 331,395 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 65 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.