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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 (#1 of 217)
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

blogs
3 blogs
twitter
63 tweeters
googleplus
2 Google+ users
q&a
1 Q&A thread

Readers on

mendeley
46 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

Twitter Demographics

The data shown below were collected from the profiles of 63 tweeters 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 37%
Researcher 14 30%
Professor 3 7%
Student > Master 3 7%
Other 2 4%
Other 7 15%
Readers by discipline Count As %
Mathematics 10 22%
Agricultural and Biological Sciences 7 15%
Unspecified 6 13%
Computer Science 4 9%
Medicine and Dentistry 4 9%
Other 15 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 65. 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 June 2018.
All research outputs
#188,367
of 11,352,457 outputs
Outputs from Statistics and Computing
#1
of 217 outputs
Outputs of similar age
#9,586
of 282,195 outputs
Outputs of similar age from Statistics and Computing
#1
of 3 outputs
Altmetric has tracked 11,352,457 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 217 research outputs from this source. They receive a mean Attention Score of 3.8. 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 282,195 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 3 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