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Marginal maximum a posteriori estimation using Markov chain Monte Carlo

Overview of attention for article published in Statistics and Computing, January 2002
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About this Attention Score

  • High Attention Score compared to outputs of the same age (81st percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
59 Dimensions

Readers on

mendeley
70 Mendeley
citeulike
1 CiteULike
Title
Marginal maximum a posteriori estimation using Markov chain Monte Carlo
Published in
Statistics and Computing, January 2002
DOI 10.1023/a:1013172322619
Authors

Arnaud Doucet, Simon J. Godsill, Christian P. Robert

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
France 1 1%
Sweden 1 1%
Denmark 1 1%
United Kingdom 1 1%
Japan 1 1%
Spain 1 1%
Unknown 62 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 36%
Professor > Associate Professor 12 17%
Researcher 11 16%
Professor 6 9%
Student > Master 5 7%
Other 8 11%
Unknown 3 4%
Readers by discipline Count As %
Mathematics 19 27%
Computer Science 13 19%
Engineering 12 17%
Agricultural and Biological Sciences 4 6%
Physics and Astronomy 4 6%
Other 13 19%
Unknown 5 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 15 June 2020.
All research outputs
#6,745,097
of 25,371,288 outputs
Outputs from Statistics and Computing
#122
of 608 outputs
Outputs of similar age
#24,604
of 130,776 outputs
Outputs of similar age from Statistics and Computing
#2
of 3 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 608 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 76% 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 130,776 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 3 others from the same source and published within six weeks on either side of this one.