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Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models

Overview of attention for article published in Statistics and Computing, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
13 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
18 Mendeley
Title
Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models
Published in
Statistics and Computing, August 2018
DOI 10.1007/s11222-018-9828-0
Authors

Daniel W. Heck, Antony M. Overstall, Quentin F. Gronau, Eric-Jan Wagenmakers

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 39%
Researcher 6 33%
Student > Master 2 11%
Student > Bachelor 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 1 6%
Readers by discipline Count As %
Psychology 5 28%
Earth and Planetary Sciences 3 17%
Mathematics 2 11%
Economics, Econometrics and Finance 2 11%
Agricultural and Biological Sciences 1 6%
Other 4 22%
Unknown 1 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 02 June 2019.
All research outputs
#4,619,510
of 23,314,015 outputs
Outputs from Statistics and Computing
#73
of 524 outputs
Outputs of similar age
#87,950
of 331,907 outputs
Outputs of similar age from Statistics and Computing
#2
of 5 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 524 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 86% 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 331,907 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 73% 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.