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How strong was the bottleneck associated to the peopling of the Americas? New insights from multilocus sequence data

Overview of attention for article published in Genetics and Molecular Biology, January 2018
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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 (#3 of 772)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
8 news outlets
blogs
5 blogs
twitter
35 X users
facebook
1 Facebook page
wikipedia
3 Wikipedia pages
reddit
1 Redditor

Citations

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18 Dimensions

Readers on

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53 Mendeley
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Title
How strong was the bottleneck associated to the peopling of the Americas? New insights from multilocus sequence data
Published in
Genetics and Molecular Biology, January 2018
DOI 10.1590/1678-4685-gmb-2017-0087
Pubmed ID
Authors

Nelson J.R. Fagundes, Alice Tagliani-Ribeiro, Rohina Rubicz, Larissa Tarskaia, Michael H. Crawford, Francisco M. Salzano, Sandro L. Bonatto

Abstract

In spite of many genetic studies that contributed for a deep knowledge about the peopling of the Americas, no consensus has emerged about important parameters such as the effective size of the Native Americans founder population. Previous estimates based on genomic datasets may have been biased by the use of admixed individuals from Latino populations, while other recent studies using samples from Native American individuals relied on approximated analytical approaches. In this study we use resequencing data for nine independent regions in a set of Native American and Siberian individuals and a full-likelihood approach based on isolation-with-migration scenarios accounting for recent flow between Asian and Native American populations. Our results suggest that, in agreement with previous studies, the effective size of the Native American population was small, most likely in the order of a few hundred individuals, with point estimates close to 250 individuals, even though credible intervals include a number as large as ~4,000 individuals. Recognizing the size of the genetic bottleneck during the peopling of the Americas is important for determining the extent of genetic markers needed to characterize Native American populations in genome-wide studies and to evaluate the adaptive potential of genetic variants in this population.

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 28%
Researcher 7 13%
Student > Bachelor 5 9%
Student > Doctoral Student 5 9%
Student > Master 5 9%
Other 8 15%
Unknown 8 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 30%
Biochemistry, Genetics and Molecular Biology 12 23%
Social Sciences 6 11%
Arts and Humanities 3 6%
Business, Management and Accounting 1 2%
Other 2 4%
Unknown 13 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 110. 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 11 June 2023.
All research outputs
#380,780
of 25,382,440 outputs
Outputs from Genetics and Molecular Biology
#3
of 772 outputs
Outputs of similar age
#8,724
of 449,583 outputs
Outputs of similar age from Genetics and Molecular Biology
#1
of 6 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 772 research outputs from this source. They receive a mean Attention Score of 4.8. 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 449,583 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 98% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them