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Adaptive proposal distribution for random walk Metropolis algorithm

Overview of attention for article published in Computational Statistics, September 1999
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About this Attention Score

  • Among the highest-scoring outputs from this source (#50 of 231)
  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
337 Dimensions

Readers on

mendeley
194 Mendeley
Title
Adaptive proposal distribution for random walk Metropolis algorithm
Published in
Computational Statistics, September 1999
DOI 10.1007/s001800050022
Authors

Heikki Haario, Eero Saksman, Johanna Tamminen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 3%
United States 3 2%
Switzerland 2 1%
France 2 1%
Australia 1 <1%
Spain 1 <1%
Norway 1 <1%
Unknown 178 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 74 38%
Researcher 36 19%
Student > Master 24 12%
Student > Doctoral Student 8 4%
Professor 8 4%
Other 15 8%
Unknown 29 15%
Readers by discipline Count As %
Mathematics 43 22%
Engineering 37 19%
Earth and Planetary Sciences 15 8%
Computer Science 14 7%
Agricultural and Biological Sciences 11 6%
Other 35 18%
Unknown 39 20%
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 15 August 2014.
All research outputs
#7,538,708
of 25,837,817 outputs
Outputs from Computational Statistics
#50
of 231 outputs
Outputs of similar age
#10,915
of 35,913 outputs
Outputs of similar age from Computational Statistics
#1
of 2 outputs
Altmetric has tracked 25,837,817 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 231 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 77% 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 35,913 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 67% of its contemporaries.
We're also able to compare this research output to 2 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