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Bringing together linguistic and genetic evidence to test the Bantu expansion

Overview of attention for article published in Proceedings of the Royal Society B: Biological Sciences, May 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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1 news outlet
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16 X users
wikipedia
2 Wikipedia pages

Citations

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131 Dimensions

Readers on

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160 Mendeley
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2 CiteULike
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Title
Bringing together linguistic and genetic evidence to test the Bantu expansion
Published in
Proceedings of the Royal Society B: Biological Sciences, May 2012
DOI 10.1098/rspb.2012.0318
Pubmed ID
Authors

Cesare de Filippo, Koen Bostoen, Mark Stoneking, Brigitte Pakendorf

Abstract

The expansion of Bantu languages represents one of the most momentous events in the history of Africa. While it is well accepted that Bantu languages spread from their homeland (Cameroon/Nigeria) approximately 5000 years ago (ya), there is no consensus about the timing and geographical routes underlying this expansion. Two main models of Bantu expansion have been suggested: The 'early-split' model claims that the most recent ancestor of Eastern languages expanded north of the rainforest towards the Great Lakes region approximately 4000 ya, while the 'late-split' model proposes that Eastern languages diversified from Western languages south of the rainforest approximately 2000 ya. Furthermore, it is unclear whether the language dispersal was coupled with the movement of people, raising the question of language shift versus demic diffusion. We use a novel approach taking into account both the spatial and temporal predictions of the two models and formally test these predictions with linguistic and genetic data. Our results show evidence for a demic diffusion in the genetic data, which is confirmed by the correlations between genetic and linguistic distances. While there is little support for the early-split model, the late-split model shows a relatively good fit to the data. Our analyses demonstrate that subsequent contact among languages/populations strongly affected the signal of the initial migration via isolation by distance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
United States 1 <1%
Unknown 155 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 22%
Researcher 31 19%
Student > Master 19 12%
Student > Bachelor 14 9%
Student > Doctoral Student 12 8%
Other 36 23%
Unknown 13 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 36%
Biochemistry, Genetics and Molecular Biology 33 21%
Linguistics 11 7%
Arts and Humanities 9 6%
Social Sciences 8 5%
Other 23 14%
Unknown 18 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 28 December 2023.
All research outputs
#1,319,158
of 25,394,764 outputs
Outputs from Proceedings of the Royal Society B: Biological Sciences
#2,982
of 11,340 outputs
Outputs of similar age
#7,163
of 177,872 outputs
Outputs of similar age from Proceedings of the Royal Society B: Biological Sciences
#19
of 82 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,340 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.4. 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 177,872 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 95% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.