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Whole genome resequencing of black Angus and Holstein cattle for SNP and CNV discovery

Overview of attention for article published in BMC Genomics, November 2011
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  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

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2 X users
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1 Google+ user

Citations

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142 Dimensions

Readers on

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172 Mendeley
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Title
Whole genome resequencing of black Angus and Holstein cattle for SNP and CNV discovery
Published in
BMC Genomics, November 2011
DOI 10.1186/1471-2164-12-559
Pubmed ID
Authors

Paul Stothard, Jung-Woo Choi, Urmila Basu, Jennifer M Sumner-Thomson, Yan Meng, Xiaoping Liao, Stephen S Moore

Abstract

One of the goals of livestock genomics research is to identify the genetic differences responsible for variation in phenotypic traits, particularly those of economic importance. Characterizing the genetic variation in livestock species is an important step towards linking genes or genomic regions with phenotypes. The completion of the bovine genome sequence and recent advances in DNA sequencing technology allow for in-depth characterization of the genetic variations present in cattle. Here we describe the whole-genome resequencing of two Bos taurus bulls from distinct breeds for the purpose of identifying and annotating novel forms of genetic variation in cattle.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
Brazil 2 1%
United States 2 1%
Hungary 1 <1%
Finland 1 <1%
Canada 1 <1%
New Zealand 1 <1%
Romania 1 <1%
India 1 <1%
Other 4 2%
Unknown 156 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 26%
Student > Ph. D. Student 34 20%
Student > Master 23 13%
Student > Bachelor 13 8%
Student > Postgraduate 7 4%
Other 23 13%
Unknown 28 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 99 58%
Biochemistry, Genetics and Molecular Biology 19 11%
Computer Science 5 3%
Engineering 3 2%
Veterinary Science and Veterinary Medicine 3 2%
Other 10 6%
Unknown 33 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 November 2011.
All research outputs
#13,357,126
of 22,656,971 outputs
Outputs from BMC Genomics
#4,972
of 10,607 outputs
Outputs of similar age
#85,725
of 141,188 outputs
Outputs of similar age from BMC Genomics
#59
of 125 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,607 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 50% 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 141,188 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.