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Monte Carlo Methods in Bayesian Computation

Overview of attention for book
Overall attention for this book and its chapters
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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 (90th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
syllabi
2 institutions with syllabi
wikipedia
1 Wikipedia page

Citations

dimensions_citation
667 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Monte Carlo Methods in Bayesian Computation
Published by
Springer Series in Statistics, December 2012
DOI 10.1007/978-1-4612-1276-8
ISBNs
978-1-4612-1276-8, 978-1-4612-7074-4
Authors

Ming-Hui Chen, Qi-Man Shao, Joseph G. Ibrahim, Chen, Minghui, Ibrahim, Joseph G., Shao, Qi-Man, Chen, Ming-Hui

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 13%
Germany 2 13%
Spain 1 6%
Unknown 11 69%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 31%
Professor 4 25%
Professor > Associate Professor 4 25%
Researcher 2 13%
Student > Doctoral Student 1 6%
Other 0 0%
Readers by discipline Count As %
Mathematics 3 19%
Computer Science 3 19%
Unspecified 2 13%
Engineering 2 13%
Business, Management and Accounting 1 6%
Other 5 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 27 March 2023.
All research outputs
#2,957,398
of 25,992,468 outputs
Outputs from Springer Series in Statistics
#1
of 1 outputs
Outputs of similar age
#27,257
of 290,141 outputs
Outputs of similar age from Springer Series in Statistics
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one scored the same or higher as 0 of them.
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 290,141 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% 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