↓ Skip to main content

An improved Akaike information criterion for state-space model selection

Overview of attention for article published in Computational Statistics & Data Analysis, June 2006
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

policy
1 policy source
patent
3 patents

Readers on

mendeley
122 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
An improved Akaike information criterion for state-space model selection
Published in
Computational Statistics & Data Analysis, June 2006
DOI 10.1016/j.csda.2005.05.003
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 2%
Germany 3 2%
United Kingdom 2 2%
Malaysia 1 <1%
France 1 <1%
Spain 1 <1%
Colombia 1 <1%
Brazil 1 <1%
Australia 1 <1%
Other 1 <1%
Unknown 107 88%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 29 24%
Student > Ph. D. Student 22 18%
Professor 20 16%
Student > Master 14 11%
Professor > Associate Professor 9 7%
Other 19 16%
Unknown 9 7%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 26 21%
Engineering 20 16%
Mathematics 19 16%
Economics, Econometrics and Finance 11 9%
Computer Science 7 6%
Other 27 22%
Unknown 12 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 29 September 2022.
All research outputs
#4,920,204
of 33,254,694 outputs
Outputs from Computational Statistics & Data Analysis
#52
of 1,064 outputs
Outputs of similar age
#14,323
of 120,843 outputs
Outputs of similar age from Computational Statistics & Data Analysis
#2
of 14 outputs
Altmetric has tracked 33,254,694 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,064 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 93% 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 120,843 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 82% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.