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Revisiting AFLP fingerprinting for an unbiased assessment of genetic structure and differentiation of taurine and zebu cattle

Overview of attention for article published in BMC Genomic Data, April 2014
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Title
Revisiting AFLP fingerprinting for an unbiased assessment of genetic structure and differentiation of taurine and zebu cattle
Published in
BMC Genomic Data, April 2014
DOI 10.1186/1471-2156-15-47
Pubmed ID
Authors

Yuri Tani Utsunomiya, Lorenzo Bomba, Giordana Lucente, Licia Colli, Riccardo Negrini, Johannes Arjen Lenstra, Georg Erhardt, José Fernando Garcia, Paolo Ajmone-Marsan, European Cattle Genetic Diversity Consortium

Abstract

Descendants from the extinct aurochs (Bos primigenius), taurine (Bos taurus) and zebu cattle (Bos indicus) were domesticated 10,000 years ago in Southwestern and Southern Asia, respectively, and colonized the world undergoing complex events of admixture and selection. Molecular data, in particular genome-wide single nucleotide polymorphism (SNP) markers, can complement historic and archaeological records to elucidate these past events. However, SNP ascertainment in cattle has been optimized for taurine breeds, imposing limitations to the study of diversity in zebu cattle. As amplified fragment length polymorphism (AFLP) markers are discovered and genotyped as the samples are assayed, this type of marker is free of ascertainment bias. In order to obtain unbiased assessments of genetic differentiation and structure in taurine and zebu cattle, we analyzed a dataset of 135 AFLP markers in 1,593 samples from 13 zebu and 58 taurine breeds, representing nine continental areas.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Researcher 8 17%
Student > Master 6 13%
Student > Bachelor 3 7%
Student > Doctoral Student 2 4%
Other 6 13%
Unknown 8 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 65%
Medicine and Dentistry 2 4%
Veterinary Science and Veterinary Medicine 1 2%
Immunology and Microbiology 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 2 4%
Unknown 9 20%
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 21 April 2014.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from BMC Genomic Data
#861
of 1,204 outputs
Outputs of similar age
#175,411
of 238,695 outputs
Outputs of similar age from BMC Genomic Data
#12
of 22 outputs
Altmetric has tracked 25,394,764 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 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. 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 22 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.