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Inferring population structure and demographic history using Y-STR data from worldwide populations

Overview of attention for article published in Molecular Genetics and Genomics, August 2014
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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2 X users
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Citations

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42 Mendeley
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3 CiteULike
Title
Inferring population structure and demographic history using Y-STR data from worldwide populations
Published in
Molecular Genetics and Genomics, August 2014
DOI 10.1007/s00438-014-0903-8
Pubmed ID
Authors

Hongyang Xu, Chuan-Chao Wang, Rukesh Shrestha, Ling-Xiang Wang, Manfei Zhang, Yungang He, Judith R. Kidd, Kenneth K. Kidd, Li Jin, Hui Li

Abstract

The Y chromosome is one of the best genetic materials to explore the evolutionary history of human populations. Global analyses of Y chromosomal short tandem repeats (STRs) data can reveal very interesting world population structures and histories. However, previous Y-STR works tended to focus on small geographical ranges or only included limited sample sizes. In this study, we have investigated population structure and demographic history using 17 Y chromosomal STRs data of 979 males from 44 worldwide populations. The largest genetic distances have been observed between pairs of African and non-African populations. American populations with the lowest genetic diversities also showed large genetic distances and coancestry coefficients with other populations, whereas Eurasian populations displayed close genetic affinities. African populations tend to have the oldest time to the most recent common ancestors (TMRCAs), the largest effective population sizes and the earliest expansion times, whereas the American, Siberian, Melanesian, and isolated Atayal populations have the most recent TMRCAs and expansion times, and the smallest effective population sizes. This clear geographic pattern is well consistent with serial founder model for the origin of populations outside Africa. The Y-STR dataset presented here provides the most detailed view of worldwide population structure and human male demographic history, and additionally will be of great benefit to future forensic applications and population genetic studies.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 17%
Researcher 6 14%
Student > Master 5 12%
Student > Doctoral Student 4 10%
Other 3 7%
Other 6 14%
Unknown 11 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 31%
Biochemistry, Genetics and Molecular Biology 12 29%
Medicine and Dentistry 3 7%
Business, Management and Accounting 1 2%
Social Sciences 1 2%
Other 1 2%
Unknown 11 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 09 April 2017.
All research outputs
#7,355,005
of 25,371,288 outputs
Outputs from Molecular Genetics and Genomics
#849
of 3,318 outputs
Outputs of similar age
#67,643
of 247,188 outputs
Outputs of similar age from Molecular Genetics and Genomics
#5
of 28 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,318 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 73% 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 247,188 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.