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A generalization of the adaptive rejection sampling algorithm

Overview of attention for article published in Statistics and Computing, August 2010
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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 (82nd percentile)

Mentioned by

blogs
1 blog
wikipedia
1 Wikipedia page

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
33 Mendeley
Title
A generalization of the adaptive rejection sampling algorithm
Published in
Statistics and Computing, August 2010
DOI 10.1007/s11222-010-9197-9
Authors

Luca Martino, Joaquín Míguez

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
France 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 9 27%
Student > Ph. D. Student 9 27%
Researcher 8 24%
Student > Master 2 6%
Professor 2 6%
Other 2 6%
Unknown 1 3%
Readers by discipline Count As %
Engineering 9 27%
Mathematics 7 21%
Computer Science 6 18%
Physics and Astronomy 4 12%
Economics, Econometrics and Finance 2 6%
Other 2 6%
Unknown 3 9%
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 15 June 2020.
All research outputs
#3,740,336
of 22,833,393 outputs
Outputs from Statistics and Computing
#59
of 503 outputs
Outputs of similar age
#15,818
of 93,897 outputs
Outputs of similar age from Statistics and Computing
#1
of 2 outputs
Altmetric has tracked 22,833,393 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 503 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 88% 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 93,897 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 82% 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