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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 229)
  • 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

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
191 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 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 4%
Spain 3 2%
Switzerland 2 1%
United Kingdom 1 <1%
Germany 1 <1%
Korea, Republic of 1 <1%
Austria 1 <1%
Sweden 1 <1%
Unknown 173 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 35%
Researcher 45 24%
Student > Master 21 11%
Unspecified 10 5%
Student > Bachelor 9 5%
Other 39 20%
Readers by discipline Count As %
Mathematics 29 15%
Computer Science 29 15%
Agricultural and Biological Sciences 25 13%
Unspecified 19 10%
Engineering 17 9%
Other 72 38%

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 06 September 2018.
All research outputs
#209,995
of 12,043,253 outputs
Outputs from Statistics and Computing
#1
of 229 outputs
Outputs of similar age
#9,558
of 281,727 outputs
Outputs of similar age from Statistics and Computing
#1
of 3 outputs
Altmetric has tracked 12,043,253 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 229 research outputs from this source. They receive a mean Attention Score of 4.0. 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 281,727 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