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Comparison of Bayesian predictive methods for model selection

Overview of attention for article published in Statistics and Computing, April 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 626)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
4 blogs
twitter
62 X users
googleplus
2 Google+ users
q&a
2 Q&A threads

Citations

dimensions_citation
230 Dimensions

Readers on

mendeley
415 Mendeley
citeulike
4 CiteULike
Title
Comparison of Bayesian predictive methods for model selection
Published in
Statistics and Computing, April 2016
DOI 10.1007/s11222-016-9649-y
Authors

Juho Piironen, Aki Vehtari

X Demographics

X Demographics

The data shown below were collected from the profiles of 62 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 415 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 2%
Switzerland 3 <1%
Spain 2 <1%
Korea, Republic of 1 <1%
Sweden 1 <1%
Germany 1 <1%
Austria 1 <1%
United Kingdom 1 <1%
Unknown 397 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 117 28%
Researcher 82 20%
Student > Master 43 10%
Student > Doctoral Student 19 5%
Other 18 4%
Other 67 16%
Unknown 69 17%
Readers by discipline Count As %
Mathematics 48 12%
Agricultural and Biological Sciences 48 12%
Computer Science 45 11%
Psychology 33 8%
Engineering 27 7%
Other 120 29%
Unknown 94 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 71. 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 28 April 2022.
All research outputs
#607,208
of 25,584,565 outputs
Outputs from Statistics and Computing
#3
of 626 outputs
Outputs of similar age
#11,038
of 315,973 outputs
Outputs of similar age from Statistics and Computing
#1
of 9 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 626 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 99% 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 315,973 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 9 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