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A simulated annealing approach to approximate Bayes computations

Overview of attention for article published in Statistics and Computing, September 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 277)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
8 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
28 Mendeley
citeulike
1 CiteULike
Title
A simulated annealing approach to approximate Bayes computations
Published in
Statistics and Computing, September 2014
DOI 10.1007/s11222-014-9507-8
Authors

Carlo Albert, Hans R. Künsch, Andreas Scheidegger

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 4%
United States 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Professor > Associate Professor 4 14%
Researcher 3 11%
Other 2 7%
Student > Master 2 7%
Other 10 36%
Readers by discipline Count As %
Mathematics 9 32%
Engineering 3 11%
Unspecified 3 11%
Computer Science 3 11%
Agricultural and Biological Sciences 2 7%
Other 8 29%

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 04 September 2018.
All research outputs
#1,253,159
of 13,465,538 outputs
Outputs from Statistics and Computing
#22
of 277 outputs
Outputs of similar age
#11,600
of 123,677 outputs
Outputs of similar age from Statistics and Computing
#1
of 6 outputs
Altmetric has tracked 13,465,538 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 277 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 92% 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 123,677 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 6 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