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Gene Flow between the Korean Peninsula and Its Neighboring Countries

Overview of attention for article published in PLOS ONE, July 2010
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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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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1 blog
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35 Mendeley
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Title
Gene Flow between the Korean Peninsula and Its Neighboring Countries
Published in
PLOS ONE, July 2010
DOI 10.1371/journal.pone.0011855
Pubmed ID
Authors

Jongsun Jung, Hoyoung Kang, Yoon Shin Cho, Ji Hee Oh, Min Hyung Ryu, Hye Won Chung, Jeong-Sun Seo, Jong-Eun Lee, Bermseok Oh, Jong Bhak, Hyung-Lae Kim

Abstract

SNP markers provide the primary data for population structure analysis. In this study, we employed whole-genome autosomal SNPs as a marker set (54,836 SNP markers) and tested their possible effects on genetic ancestry using 320 subjects covering 24 regional groups including Northern (=16) and Southern (=3) Asians, Amerindians (=1), and four HapMap populations (YRI, CEU, JPT, and CHB). Additionally, we evaluated the effectiveness and robustness of 50K autosomal SNPs with various clustering methods, along with their dependencies on recombination hotspots (RH), linkage disequilibrium (LD), missing calls and regional specific markers. The RH- and LD-free multi-dimensional scaling (MDS) method showed a broad picture of human migration from Africa to North-East Asia on our genome map, supporting results from previous haploid DNA studies. Of the Asian groups, the East Asian group showed greater differentiation than the Northern and Southern Asian groups with respect to Fst statistics. By extension, the analysis of monomorphic markers implied that nine out of ten historical regions in South Korea, and Tokyo in Japan, showed signs of genetic drift caused by the later settlement of East Asia (South Korea, Japan and China), while Gyeongju in South East Korea showed signs of the earliest settlement in East Asia. In the genome map, the gene flow to the Korean Peninsula from its neighboring countries indicated that some genetic signals from Northern populations such as the Siberians and Mongolians still remain in the South East and West regions, while few signals remain from the early Southern lineages.

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X Demographics

The data shown below were collected from the profiles of 4 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 6%
United States 1 3%
Unknown 32 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 29%
Student > Master 6 17%
Student > Ph. D. Student 5 14%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Other 7 20%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 37%
Social Sciences 4 11%
Medicine and Dentistry 4 11%
Biochemistry, Genetics and Molecular Biology 2 6%
Nursing and Health Professions 2 6%
Other 8 23%
Unknown 2 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 22 September 2022.
All research outputs
#2,930,825
of 24,978,429 outputs
Outputs from PLOS ONE
#36,111
of 216,436 outputs
Outputs of similar age
#11,157
of 100,482 outputs
Outputs of similar age from PLOS ONE
#175
of 770 outputs
Altmetric has tracked 24,978,429 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 216,436 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done well, scoring higher than 83% 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 100,482 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 88% of its contemporaries.
We're also able to compare this research output to 770 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.