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The Akaike information criterion: Background, derivation, properties, application, interpretation, and refinements

Overview of attention for article published in Wiley Interdisciplinary Reviews: Computational Statistics, March 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 323)
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

blogs
1 blog
twitter
6 X users
wikipedia
1 Wikipedia page

Readers on

mendeley
812 Mendeley
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Article details
Title
The Akaike information criterion: Background, derivation, properties, application, interpretation, and refinements
Published in
Wiley Interdisciplinary Reviews: Computational Statistics, March 2019
DOI 10.1002/wics.1460
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 812 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 812 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 87 11%
Student > Ph. D. Student 84 10%
Student > Bachelor 66 8%
Researcher 56 7%
Student > Doctoral Student 26 3%
Other 89 11%
Unknown 404 50%
Readers by discipline
Readers by discipline Count As %
Engineering 58 7%
Agricultural and Biological Sciences 56 7%
Mathematics 25 3%
Economics, Econometrics and Finance 21 3%
Environmental Science 20 2%
Other 196 24%
Unknown 436 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 October 2025.
All research outputs
#2,833,875
of 29,598,021 outputs
Outputs from Wiley Interdisciplinary Reviews: Computational Statistics
#12
of 323 outputs
Outputs of similar age
#53,490
of 371,748 outputs
Outputs of similar age from Wiley Interdisciplinary Reviews: Computational Statistics
#2
of 7 outputs
Altmetric has tracked 29,598,021 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 323 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 96% 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 371,748 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 85% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.