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Uniparental genetic markers in South Amerindians

Overview of attention for article published in Genetics and Molecular Biology, May 2012
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Title
Uniparental genetic markers in South Amerindians
Published in
Genetics and Molecular Biology, May 2012
DOI 10.1590/s1415-47572012005000027
Pubmed ID
Authors

Rafael Bisso-Machado, Maria Cátira Bortolini, Francisco Mauro Salzano

Abstract

A comprehensive review of uniparental systems in South Amerindians was undertaken. Variability in the Y-chromosome haplogroups were assessed in 68 populations and 1,814 individuals whereas that of Y-STR markers was assessed in 29 populations and 590 subjects. Variability in the mitochondrial DNA (mtDNA) haplogroup was examined in 108 populations and 6,697 persons, and sequencing studies used either the complete mtDNA genome or the highly variable segments 1 and 2. The diversity of the markers made it difficult to establish a general picture of Y-chromosome variability in the populations studied. However, haplogroup Q1a3a* was almost always the most prevalent whereas Q1a3* occurred equally in all regions, which suggested its prevalence among the early colonizers. The STR allele frequencies were used to derive a possible ancient Native American Q-clade chromosome haplotype and five of six STR loci showed significant geographic variation. Geographic and linguistic factors moderately influenced the mtDNA distributions (6% and 7%, respectively) and mtDNA haplogroups A and D correlated positively and negatively, respectively, with latitude. The data analyzed here provide rich material for understanding the biological history of South Amerindians and can serve as a basis for comparative studies involving other types of data, such as cultural data.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 4%
Germany 1 1%
France 1 1%
Unknown 74 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 23%
Student > Ph. D. Student 16 20%
Student > Bachelor 11 14%
Student > Doctoral Student 10 13%
Student > Master 9 11%
Other 10 13%
Unknown 5 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 46%
Biochemistry, Genetics and Molecular Biology 25 32%
Social Sciences 3 4%
Business, Management and Accounting 2 3%
Engineering 2 3%
Other 4 5%
Unknown 7 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 June 2012.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Genetics and Molecular Biology
#551
of 771 outputs
Outputs of similar age
#137,854
of 176,130 outputs
Outputs of similar age from Genetics and Molecular Biology
#3
of 12 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 771 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.