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Impact of prior specifications in a shrinkage-inducing Bayesian model for quantitative trait mapping and genomic prediction

Overview of attention for article published in Genetics Selection Evolution, July 2013
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Title
Impact of prior specifications in a shrinkage-inducing Bayesian model for quantitative trait mapping and genomic prediction
Published in
Genetics Selection Evolution, July 2013
DOI 10.1186/1297-9686-45-24
Pubmed ID
Authors

Timo Knürr, Esa Läärä, Mikko J Sillanpää

Abstract

In quantitative trait mapping and genomic prediction, Bayesian variable selection methods have gained popularity in conjunction with the increase in marker data and computational resources. Whereas shrinkage-inducing methods are common tools in genomic prediction, rigorous decision making in mapping studies using such models is not well established and the robustness of posterior results is subject to misspecified assumptions because of weak biological prior evidence.

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 %
United Kingdom 1 4%
Sweden 1 4%
Unknown 24 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 38%
Student > Ph. D. Student 7 27%
Student > Master 2 8%
Lecturer 2 8%
Professor > Associate Professor 2 8%
Other 1 4%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 65%
Mathematics 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Psychology 1 4%
Social Sciences 1 4%
Other 0 0%
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 09 July 2013.
All research outputs
#4,606,285
of 6,228,821 outputs
Outputs from Genetics Selection Evolution
#167
of 249 outputs
Outputs of similar age
#67,017
of 99,045 outputs
Outputs of similar age from Genetics Selection Evolution
#7
of 11 outputs
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So far Altmetric has tracked 249 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.