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Resolving the ancestry of Austronesian-speaking populations

Overview of attention for article published in Human Genetics, January 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 2,966)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
24 news outlets
blogs
3 blogs
twitter
21 X users
facebook
5 Facebook pages
wikipedia
14 Wikipedia pages
googleplus
1 Google+ user
video
1 YouTube creator

Citations

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71 Dimensions

Readers on

mendeley
149 Mendeley
citeulike
2 CiteULike
Title
Resolving the ancestry of Austronesian-speaking populations
Published in
Human Genetics, January 2016
DOI 10.1007/s00439-015-1620-z
Pubmed ID
Authors

Pedro A. Soares, Jean A. Trejaut, Teresa Rito, Bruno Cavadas, Catherine Hill, Ken Khong Eng, Maru Mormina, Andreia Brandão, Ross M. Fraser, Tse-Yi Wang, Jun-Hun Loo, Christopher Snell, Tsang-Ming Ko, António Amorim, Maria Pala, Vincent Macaulay, David Bulbeck, James F. Wilson, Leonor Gusmão, Luísa Pereira, Stephen Oppenheimer, Marie Lin, Martin B. Richards

Abstract

There are two very different interpretations of the prehistory of Island Southeast Asia (ISEA), with genetic evidence invoked in support of both. The "out-of-Taiwan" model proposes a major Late Holocene expansion of Neolithic Austronesian speakers from Taiwan. An alternative, proposing that Late Glacial/postglacial sea-level rises triggered largely autochthonous dispersals, accounts for some otherwise enigmatic genetic patterns, but fails to explain the Austronesian language dispersal. Combining mitochondrial DNA (mtDNA), Y-chromosome and genome-wide data, we performed the most comprehensive analysis of the region to date, obtaining highly consistent results across all three systems and allowing us to reconcile the models. We infer a primarily common ancestry for Taiwan/ISEA populations established before the Neolithic, but also detected clear signals of two minor Late Holocene migrations, probably representing Neolithic input from both Mainland Southeast Asia and South China, via Taiwan. This latter may therefore have mediated the Austronesian language dispersal, implying small-scale migration and language shift rather than large-scale expansion.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Germany 1 <1%
Australia 1 <1%
France 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 142 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 18%
Student > Ph. D. Student 25 17%
Student > Bachelor 23 15%
Student > Master 17 11%
Student > Doctoral Student 9 6%
Other 25 17%
Unknown 23 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 22%
Biochemistry, Genetics and Molecular Biology 31 21%
Social Sciences 19 13%
Arts and Humanities 16 11%
Medicine and Dentistry 5 3%
Other 20 13%
Unknown 25 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 226. 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 19 April 2024.
All research outputs
#170,467
of 25,502,817 outputs
Outputs from Human Genetics
#6
of 2,966 outputs
Outputs of similar age
#2,829
of 402,552 outputs
Outputs of similar age from Human Genetics
#1
of 20 outputs
Altmetric has tracked 25,502,817 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 2,966 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 99% 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 402,552 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 20 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 99% of its contemporaries.