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Zero variance Markov chain Monte Carlo for Bayesian estimators

Overview of attention for article published in Statistics and Computing, July 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

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57 Dimensions

Readers on

mendeley
43 Mendeley
Title
Zero variance Markov chain Monte Carlo for Bayesian estimators
Published in
Statistics and Computing, July 2012
DOI 10.1007/s11222-012-9344-6
Authors

Antonietta Mira, Reza Solgi, Daniele Imparato

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 7%
United States 1 2%
Unknown 39 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 28%
Student > Ph. D. Student 9 21%
Professor 4 9%
Lecturer 3 7%
Professor > Associate Professor 3 7%
Other 6 14%
Unknown 6 14%
Readers by discipline Count As %
Mathematics 15 35%
Computer Science 13 30%
Engineering 3 7%
Agricultural and Biological Sciences 1 2%
Business, Management and Accounting 1 2%
Other 2 5%
Unknown 8 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 November 2023.
All research outputs
#7,162,217
of 24,865,967 outputs
Outputs from Statistics and Computing
#139
of 571 outputs
Outputs of similar age
#47,718
of 169,654 outputs
Outputs of similar age from Statistics and Computing
#1
of 3 outputs
Altmetric has tracked 24,865,967 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 571 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 75% 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 169,654 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