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Attention Score in Context
Title |
Impact of prior specifications in a shrinkage-inducing Bayesian model for quantitative trait mapping and genomic prediction
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Published in |
Genetics Selection Evolution, July 2013
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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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
Sweden | 1 | 3% |
Unknown | 28 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 33% |
Student > Ph. D. Student | 7 | 23% |
Student > Master | 3 | 10% |
Lecturer | 2 | 7% |
Professor > Associate Professor | 2 | 7% |
Other | 2 | 7% |
Unknown | 4 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 17 | 57% |
Mathematics | 2 | 7% |
Biochemistry, Genetics and Molecular Biology | 2 | 7% |
Psychology | 1 | 3% |
Social Sciences | 1 | 3% |
Other | 0 | 0% |
Unknown | 7 | 23% |
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
#18,341,369
of 22,713,403 outputs
Outputs from Genetics Selection Evolution
#591
of 735 outputs
Outputs of similar age
#145,746
of 194,174 outputs
Outputs of similar age from Genetics Selection Evolution
#8
of 13 outputs
Altmetric has tracked 22,713,403 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 735 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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 194,174 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.