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The Bayesian information criterion: background, derivation, and applications

Overview of attention for article published in Wiley Interdisciplinary Reviews: Computational Statistics, December 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 314)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
2 X users
q&a
1 Q&A thread

Readers on

mendeley
585 Mendeley
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Article details
Title
The Bayesian information criterion: background, derivation, and applications
Published in
Wiley Interdisciplinary Reviews: Computational Statistics, December 2011
DOI 10.1002/wics.199
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 585 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 <1%
Germany 2 <1%
Netherlands 1 <1%
Australia 1 <1%
Unknown 579 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 97 17%
Student > Master 68 12%
Researcher 47 8%
Student > Doctoral Student 36 6%
Student > Bachelor 34 6%
Other 73 12%
Unknown 230 39%
Readers by discipline
Readers by discipline Count As %
Engineering 41 7%
Agricultural and Biological Sciences 40 7%
Psychology 33 6%
Medicine and Dentistry 26 4%
Computer Science 25 4%
Other 161 28%
Unknown 259 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 07 August 2024.
All research outputs
#2,314,105
of 28,812,439 outputs
Outputs from Wiley Interdisciplinary Reviews: Computational Statistics
#9
of 314 outputs
Outputs of similar age
#15,260
of 263,726 outputs
Outputs of similar age from Wiley Interdisciplinary Reviews: Computational Statistics
#1
of 9 outputs
Altmetric has tracked 28,812,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 314 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 97% 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 263,726 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 94% 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