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Negotiating multicollinearity with spike-and-slab priors

Overview of attention for article published in METRON, June 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
18 Mendeley
Title
Negotiating multicollinearity with spike-and-slab priors
Published in
METRON, June 2014
DOI 10.1007/s40300-014-0047-y
Pubmed ID
Authors

Veronika Ročková, Edward I. George

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Student > Doctoral Student 3 17%
Researcher 3 17%
Professor 2 11%
Student > Master 1 6%
Other 0 0%
Unknown 4 22%
Readers by discipline Count As %
Mathematics 6 33%
Agricultural and Biological Sciences 3 17%
Computer Science 2 11%
Biochemistry, Genetics and Molecular Biology 1 6%
Economics, Econometrics and Finance 1 6%
Other 1 6%
Unknown 4 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 June 2015.
All research outputs
#5,875,832
of 22,808,725 outputs
Outputs from METRON
#7
of 29 outputs
Outputs of similar age
#54,828
of 228,849 outputs
Outputs of similar age from METRON
#1
of 1 outputs
Altmetric has tracked 22,808,725 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 29 research outputs from this source. They receive a mean Attention Score of 3.6. This one scored the same or higher as 22 of them.
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 228,849 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them