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Proximal Markov chain Monte Carlo algorithms

Overview of attention for article published in Statistics and Computing, May 2015
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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 (81st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
80 Mendeley
Title
Proximal Markov chain Monte Carlo algorithms
Published in
Statistics and Computing, May 2015
DOI 10.1007/s11222-015-9567-4
Authors

Marcelo Pereyra

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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Japan 1 1%
Hungary 1 1%
Netherlands 1 1%
Unknown 75 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 31%
Researcher 18 23%
Student > Master 7 9%
Professor 6 8%
Professor > Associate Professor 4 5%
Other 9 11%
Unknown 11 14%
Readers by discipline Count As %
Mathematics 19 24%
Computer Science 16 20%
Engineering 13 16%
Environmental Science 3 4%
Agricultural and Biological Sciences 2 3%
Other 15 19%
Unknown 12 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 17 April 2023.
All research outputs
#4,191,800
of 24,618,075 outputs
Outputs from Statistics and Computing
#65
of 563 outputs
Outputs of similar age
#50,545
of 272,257 outputs
Outputs of similar age from Statistics and Computing
#7
of 21 outputs
Altmetric has tracked 24,618,075 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 563 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 87% 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 272,257 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.