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On parallel implementation of sequential Monte Carlo methods: the island particle model

Overview of attention for article published in Statistics and Computing, November 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
2 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
59 Dimensions

Readers on

mendeley
40 Mendeley
citeulike
1 CiteULike
Title
On parallel implementation of sequential Monte Carlo methods: the island particle model
Published in
Statistics and Computing, November 2013
DOI 10.1007/s11222-013-9429-x
Authors

Christelle Vergé, Cyrille Dubarry, Pierre Del Moral, Eric Moulines

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 30%
Student > Master 7 18%
Student > Bachelor 3 8%
Professor 3 8%
Researcher 3 8%
Other 7 18%
Unknown 5 13%
Readers by discipline Count As %
Mathematics 12 30%
Engineering 11 28%
Computer Science 7 18%
Biochemistry, Genetics and Molecular Biology 2 5%
Economics, Econometrics and Finance 2 5%
Other 3 8%
Unknown 3 8%
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 31 May 2015.
All research outputs
#6,429,627
of 22,844,985 outputs
Outputs from Statistics and Computing
#128
of 503 outputs
Outputs of similar age
#59,746
of 215,531 outputs
Outputs of similar age from Statistics and Computing
#3
of 11 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 503 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 74% 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 215,531 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 70% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.