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Bayesian inference for categorical data analysis

Overview of attention for article published in Statistical Methods & Applications, December 2005
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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 (81st percentile)

Mentioned by

patent
1 patent
wikipedia
10 Wikipedia pages

Citations

dimensions_citation
122 Dimensions

Readers on

mendeley
372 Mendeley
Title
Bayesian inference for categorical data analysis
Published in
Statistical Methods & Applications, December 2005
DOI 10.1007/s10260-005-0121-y
Authors

Alan Agresti, David B. Hitchcock

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 372 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 3%
United Kingdom 4 1%
Germany 3 <1%
Netherlands 2 <1%
Spain 2 <1%
France 2 <1%
Italy 1 <1%
Ghana 1 <1%
Australia 1 <1%
Other 11 3%
Unknown 332 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 96 26%
Researcher 88 24%
Other 28 8%
Student > Master 26 7%
Professor 22 6%
Other 75 20%
Unknown 37 10%
Readers by discipline Count As %
Mathematics 63 17%
Computer Science 54 15%
Agricultural and Biological Sciences 38 10%
Psychology 26 7%
Engineering 23 6%
Other 115 31%
Unknown 53 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 26 June 2022.
All research outputs
#4,688,896
of 22,753,345 outputs
Outputs from Statistical Methods & Applications
#8
of 70 outputs
Outputs of similar age
#18,474
of 146,389 outputs
Outputs of similar age from Statistical Methods & Applications
#1
of 1 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 70 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 88% 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 146,389 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 81% of its contemporaries.
We're also able to compare this research output to 1 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