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Population Size and the Rate of Language Evolution: A Test Across Indo-European, Austronesian, and Bantu Languages

Overview of attention for article published in Frontiers in Psychology, April 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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56 X users
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33 Mendeley
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Title
Population Size and the Rate of Language Evolution: A Test Across Indo-European, Austronesian, and Bantu Languages
Published in
Frontiers in Psychology, April 2018
DOI 10.3389/fpsyg.2018.00576
Pubmed ID
Authors

Simon J. Greenhill, Xia Hua, Caela F. Welsh, Hilde Schneemann, Lindell Bromham

Abstract

What role does speaker population size play in shaping rates of language evolution? There has been little consensus on the expected relationship between rates and patterns of language change and speaker population size, with some predicting faster rates of change in smaller populations, and others expecting greater change in larger populations. The growth of comparative databases has allowed population size effects to be investigated across a wide range of language groups, with mixed results. One recent study of a group of Polynesian languages revealed greater rates of word gain in larger populations and greater rates of word loss in smaller populations. However, that test was restricted to 20 closely related languages from small Oceanic islands. Here, we test if this pattern is a general feature of language evolution across a larger and more diverse sample of languages from both continental and island populations. We analyzed comparative language data for 153 pairs of closely-related sister languages from three of the world's largest language families: Austronesian, Indo-European, and Niger-Congo. We find some evidence that rates of word loss are significantly greater in smaller languages for the Indo-European comparisons, but we find no significant patterns in the other two language families. These results suggest either that the influence of population size on rates and patterns of language evolution is not universal, or that it is sufficiently weak that it may be overwhelmed by other influences in some cases. Further investigation, for a greater number of language comparisons and a wider range of language features, may determine which of these explanations holds true.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Researcher 6 18%
Student > Bachelor 6 18%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Other 2 6%
Unknown 7 21%
Readers by discipline Count As %
Linguistics 8 24%
Agricultural and Biological Sciences 4 12%
Biochemistry, Genetics and Molecular Biology 3 9%
Environmental Science 2 6%
Psychology 2 6%
Other 7 21%
Unknown 7 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 21 December 2023.
All research outputs
#1,213,230
of 26,439,667 outputs
Outputs from Frontiers in Psychology
#2,571
of 35,404 outputs
Outputs of similar age
#25,269
of 343,653 outputs
Outputs of similar age from Frontiers in Psychology
#69
of 614 outputs
Altmetric has tracked 26,439,667 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 35,404 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done particularly well, scoring higher than 92% 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 343,653 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 92% of its contemporaries.
We're also able to compare this research output to 614 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.