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A Bayesian generalized rank ordered logit model

Overview of attention for article published in Journal of Choice Modelling, March 2024
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About this Attention Score

  • Among the highest-scoring outputs from this source (#25 of 120)
  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

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3 Mendeley
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Title
A Bayesian generalized rank ordered logit model
Published in
Journal of Choice Modelling, March 2024
DOI 10.1016/j.jocm.2024.100475
Authors

Haotian Cheng, John N. Ng'ombe, Dayton M. Lambert

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Researcher 1 33%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Engineering 2 67%
Economics, Econometrics and Finance 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 February 2024.
All research outputs
#7,581,227
of 26,051,341 outputs
Outputs from Journal of Choice Modelling
#25
of 120 outputs
Outputs of similar age
#102,652
of 344,990 outputs
Outputs of similar age from Journal of Choice Modelling
#1
of 3 outputs
Altmetric has tracked 26,051,341 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 120 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 79% 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 344,990 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 70% of its contemporaries.
We're also able to compare this research output to 3 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