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A Bayesian model for multivariate discrete data using spatial and expert information with application to inferring building attributes

Overview of attention for article published in Spatial Statistics, June 2023
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About this Attention Score

  • Among the highest-scoring outputs from this source (#50 of 148)
  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
8 Mendeley
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Title
A Bayesian model for multivariate discrete data using spatial and expert information with application to inferring building attributes
Published in
Spatial Statistics, June 2023
DOI 10.1016/j.spasta.2023.100745
Authors

Christopher Krapu, Nolan Hayes, Robert Stewart, Kuldeep Kurte, Amy Rose, Alex Sorokine, Marie Urban

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Lecturer 2 25%
Student > Ph. D. Student 1 13%
Unspecified 1 13%
Student > Master 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 2 25%
Mathematics 1 13%
Unspecified 1 13%
Physics and Astronomy 1 13%
Engineering 1 13%
Other 0 0%
Unknown 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 April 2023.
All research outputs
#13,259,274
of 23,578,918 outputs
Outputs from Spatial Statistics
#50
of 148 outputs
Outputs of similar age
#13,551
of 41,600 outputs
Outputs of similar age from Spatial Statistics
#1
of 1 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 148 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 65% 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 41,600 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 66% 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