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Genome-enabled predictions for binomial traits in sugar beet populations

Overview of attention for article published in BMC Genetics, January 2014
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Title
Genome-enabled predictions for binomial traits in sugar beet populations
Published in
BMC Genetics, January 2014
DOI 10.1186/1471-2156-15-87
Pubmed ID
Authors

Filippo Biscarini, Piergiorgio Stevanato, Chiara Broccanello, Alessandra Stella, Massimo Saccomani

Abstract

Genomic information can be used to predict not only continuous but also categorical (e.g. binomial) traits. Several traits of interest in human medicine and agriculture present a discrete distribution of phenotypes (e.g. disease status). Root vigor in sugar beet (B. vulgaris) is an example of binomial trait of agronomic importance. In this paper, a panel of 192 SNPs (single nucleotide polymorphisms) was used to genotype 124 sugar beet individual plants from 18 lines, and to classify them as showing "high" or "low" root vigor.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 4%
Germany 1 4%
Belgium 1 4%
Unknown 23 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Researcher 7 27%
Student > Master 4 15%
Student > Doctoral Student 2 8%
Professor > Associate Professor 2 8%
Other 3 12%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 69%
Biochemistry, Genetics and Molecular Biology 3 12%
Mathematics 1 4%
Unknown 4 15%

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 05 November 2014.
All research outputs
#7,545,592
of 8,702,492 outputs
Outputs from BMC Genetics
#579
of 726 outputs
Outputs of similar age
#146,997
of 181,460 outputs
Outputs of similar age from BMC Genetics
#18
of 24 outputs
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So far Altmetric has tracked 726 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.