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Sequential Monte Carlo on large binary sampling spaces

Overview of attention for article published in Statistics and Computing, November 2011
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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 (#37 of 484)
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

blogs
2 blogs

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
68 Mendeley
citeulike
1 CiteULike
Title
Sequential Monte Carlo on large binary sampling spaces
Published in
Statistics and Computing, November 2011
DOI 10.1007/s11222-011-9299-z
Authors

Christian Schäfer, Nicolas Chopin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 4%
Finland 1 1%
United States 1 1%
Unknown 63 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 35%
Researcher 17 25%
Student > Master 8 12%
Student > Bachelor 3 4%
Professor > Associate Professor 3 4%
Other 6 9%
Unknown 7 10%
Readers by discipline Count As %
Mathematics 34 50%
Computer Science 10 15%
Agricultural and Biological Sciences 5 7%
Engineering 5 7%
Linguistics 1 1%
Other 4 6%
Unknown 9 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 25 October 2021.
All research outputs
#2,916,997
of 22,659,164 outputs
Outputs from Statistics and Computing
#37
of 484 outputs
Outputs of similar age
#23,398
of 240,147 outputs
Outputs of similar age from Statistics and Computing
#3
of 4 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 484 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 240,147 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 4 others from the same source and published within six weeks on either side of this one.