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Mapping Human Genetic Diversity in Asia

Overview of attention for article published in Science, December 2009
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
4 blogs
policy
1 policy source
twitter
407 tweeters
wikipedia
5 Wikipedia pages
video
1 video uploader

Citations

dimensions_citation
358 Dimensions

Readers on

mendeley
555 Mendeley
citeulike
17 CiteULike
connotea
2 Connotea
Title
Mapping Human Genetic Diversity in Asia
Published in
Science, December 2009
DOI 10.1126/science.1177074
Pubmed ID
Authors

M. A. Abdulla, I. Ahmed, A. Assawamakin, J. Bhak, S. K. Brahmachari, G. C. Calacal, A. Chaurasia, C.-H. Chen, J. Chen, Y.-T. Chen, J. Chu, E. M. C. Cutiongco-de la Paz, M. C. A. De Ungria, F. C. Delfin, J. Edo, S. Fuchareon, H. Ghang, T. Gojobori, J. Han, S.-F. Ho, B. P. Hoh, W. Huang, H. Inoko, P. Jha, T. A. Jinam, L. Jin, J. Jung, D. Kangwanpong, J. Kampuansai, G. C. Kennedy, P. Khurana, H.-L. Kim, K. Kim, S. Kim, W.-Y. Kim, K. Kimm, R. Kimura, T. Koike, S. Kulawonganunchai, V. Kumar, P. S. Lai, J.-Y. Lee, S. Lee, E. T. Liu, P. P. Majumder, K. K. Mandapati, S. Marzuki, W. Mitchell, M. Mukerji, K. Naritomi, C. Ngamphiw, N. Niikawa, N. Nishida, B. Oh, S. Oh, J. Ohashi, A. Oka, R. Ong, C. D. Padilla, P. Palittapongarnpim, H. B. Perdigon, M. E. Phipps, E. Png, Y. Sakaki, J. M. Salvador, Y. Sandraling, V. Scaria, M. Seielstad, M. R. Sidek, A. Sinha, M. Srikummool, H. Sudoyo, S. Sugano, H. Suryadi, Y. Suzuki, K. A. Tabbada, A. Tan, K. Tokunaga, S. Tongsima, L. P. Villamor, E. Wang, Y. Wang, H. Wang, J.-Y. Wu, H. Xiao, S. Xu, J. O. Yang, Y. Y. Shugart, H.-S. Yoo, W. Yuan, G. Zhao, B. A. Zilfalil

Abstract

Asia harbors substantial cultural and linguistic diversity, but the geographic structure of genetic variation across the continent remains enigmatic. Here we report a large-scale survey of autosomal variation from a broad geographic sample of Asian human populations. Our results show that genetic ancestry is strongly correlated with linguistic affiliations as well as geography. Most populations show relatedness within ethnic/linguistic groups, despite prevalent gene flow among populations. More than 90% of East Asian (EA) haplotypes could be found in either Southeast Asian (SEA) or Central-South Asian (CSA) populations and show clinal structure with haplotype diversity decreasing from south to north. Furthermore, 50% of EA haplotypes were found in SEA only and 5% were found in CSA only, indicating that SEA was a major geographic source of EA populations.

Twitter Demographics

The data shown below were collected from the profiles of 407 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 555 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 17 3%
United Kingdom 6 1%
Korea, Republic of 4 <1%
Switzerland 3 <1%
Argentina 3 <1%
France 3 <1%
China 2 <1%
Malaysia 2 <1%
Belgium 2 <1%
Other 18 3%
Unknown 495 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 154 28%
Student > Ph. D. Student 134 24%
Student > Master 68 12%
Professor > Associate Professor 40 7%
Professor 38 7%
Other 121 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 298 54%
Biochemistry, Genetics and Molecular Biology 71 13%
Medicine and Dentistry 43 8%
Unspecified 38 7%
Social Sciences 27 5%
Other 78 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 360. 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 February 2019.
All research outputs
#30,818
of 13,513,814 outputs
Outputs from Science
#1,466
of 62,343 outputs
Outputs of similar age
#166
of 121,667 outputs
Outputs of similar age from Science
#9
of 812 outputs
Altmetric has tracked 13,513,814 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 62,343 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.4. This one has done particularly well, scoring higher than 97% 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 121,667 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 99% of its contemporaries.
We're also able to compare this research output to 812 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 98% of its contemporaries.