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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mapping Human Genetic Diversity in Asia
|
|---|---|
| Published in |
Science, December 2009
|
| DOI | 10.1126/science.1177074 |
| Pubmed ID | |
| Authors |
The HUGO Pan-Asian SNP Consortium, Mahmood Ameen Abdulla, Ikhlak Ahmed, Anunchai Assawamakin, Jong Bhak, Samir K. Brahmachari, Gayvelline C. Calacal, Amit Chaurasia, Chien-Hsiun Chen, Jieming Chen, Yuan-Tsong Chen, Jiayou Chu, Eva Maria C. Cutiongco-de la Paz, Maria Corazon A. De Ungria, Frederick C. Delfin, Juli Edo, Suthat Fuchareon, Ho Ghang, Takashi Gojobori, Junsong Han, Sheng-Feng Ho, Boon Peng Hoh, Wei Huang, Hidetoshi Inoko, Pankaj Jha, Timothy A. Jinam, Li Jin, Jongsun Jung, Daoroong Kangwanpong, Jatupol Kampuansai, Giulia C. Kennedy, Preeti Khurana, Hyung-Lae Kim, Kwangjoong Kim, Sangsoo Kim, Woo-Yeon Kim, Kuchan Kimm, Ryosuke Kimura, Tomohiro Koike, Supasak Kulawonganunchai, Vikrant Kumar, Poh San Lai, Jong-Young Lee, Sunghoon Lee, Edison T. Liu, Partha P. Majumder, Kiran Kumar Mandapati, Sangkot Marzuki, Wayne Mitchell, Mitali Mukerji, Kenji Naritomi, Chumpol Ngamphiw, Norio Niikawa, Nao Nishida, Bermseok Oh, Sangho Oh, Jun Ohashi, Akira Oka, Rick Ong, Carmencita D. Padilla, Prasit Palittapongarnpim, Henry B. Perdigon, Maude Elvira Phipps, Eileen Png, Yoshiyuki Sakaki, Jazelyn M. Salvador, Yuliana Sandraling, Vinod Scaria, Mark Seielstad, Mohd Ros Sidek, Amit Sinha, Metawee Srikummool, Herawati Sudoyo, Sumio Sugano, Helena Suryadi, Yoshiyuki Suzuki, Kristina A. Tabbada, Adrian Tan, Katsushi Tokunaga, Sissades Tongsima, Lilian P. Villamor, Eric Wang, Ying Wang, Haifeng Wang, Jer-Yuarn Wu, Huasheng Xiao, Shuhua Xu, Jin Ok Yang, Yin Yao Shugart, Hyang-Sook Yoo, Wentao Yuan, Guoping Zhao, Bin Alwi 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. |
X Demographics
The data shown below were collected from the profiles of 358 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 100 | 28% |
| Austria | 3 | <1% |
| Taiwan | 2 | <1% |
| Indonesia | 1 | <1% |
| Turkey | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| New Zealand | 1 | <1% |
| Germany | 1 | <1% |
| Bosnia and Herzegovina | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 245 | 68% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 354 | 99% |
| Scientists | 4 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 658 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% |
| Switzerland | 3 | <1% |
| Korea, Republic of | 3 | <1% |
| Argentina | 3 | <1% |
| France | 3 | <1% |
| Malaysia | 2 | <1% |
| Germany | 2 | <1% |
| Singapore | 2 | <1% |
| Other | 17 | 3% |
| Unknown | 600 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 165 | 25% |
| Student > Ph. D. Student | 143 | 22% |
| Student > Master | 75 | 11% |
| Professor > Associate Professor | 42 | 6% |
| Professor | 42 | 6% |
| Other | 121 | 18% |
| Unknown | 70 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 297 | 45% |
| Biochemistry, Genetics and Molecular Biology | 96 | 15% |
| Medicine and Dentistry | 49 | 7% |
| Social Sciences | 31 | 5% |
| Arts and Humanities | 12 | 2% |
| Other | 85 | 13% |
| Unknown | 88 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 311. 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 08 November 2023.
All research outputs
#111,755
of 25,724,500 outputs
Outputs from Science
#3,617
of 83,260 outputs
Outputs of similar age
#307
of 177,924 outputs
Outputs of similar age from Science
#4
of 330 outputs
Altmetric has tracked 25,724,500 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 83,260 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.9. 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 177,924 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 330 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.