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On the Use of Cauchy Prior Distributions for Bayesian Logistic Regression

Overview of attention for article published in Bayesian Analysis, June 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
4 X users
q&a
1 Q&A thread

Readers on

mendeley
118 Mendeley
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Article details
Title
On the Use of Cauchy Prior Distributions for Bayesian Logistic Regression
Published in
Bayesian Analysis, June 2018
DOI 10.1214/17-ba1051
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 4 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 118 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 %
Switzerland 1 <1%
Unknown 117 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 36 31%
Researcher 13 11%
Student > Master 10 8%
Student > Doctoral Student 9 8%
Student > Bachelor 5 4%
Other 19 16%
Unknown 26 22%
Readers by discipline
Readers by discipline Count As %
Mathematics 21 18%
Agricultural and Biological Sciences 10 8%
Psychology 10 8%
Social Sciences 7 6%
Engineering 6 5%
Other 29 25%
Unknown 35 30%
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 08 January 2023.
All research outputs
#9,492,433
of 34,566,597 outputs
Outputs from Bayesian Analysis
#91
of 385 outputs
Outputs of similar age
#115,741
of 374,544 outputs
Outputs of similar age from Bayesian Analysis
#2
of 5 outputs
Altmetric has tracked 34,566,597 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 385 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done well, scoring higher than 76% 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 374,544 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.