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On sequential Monte Carlo sampling methods for Bayesian filtering

Overview of attention for article published in Statistics and Computing, July 2000
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
3355 Dimensions

Readers on

mendeley
1120 Mendeley
citeulike
10 CiteULike
Title
On sequential Monte Carlo sampling methods for Bayesian filtering
Published in
Statistics and Computing, July 2000
DOI 10.1023/a:1008935410038
Authors

Arnaud Doucet, Simon Godsill, Christophe Andrieu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 36 3%
United Kingdom 19 2%
Germany 15 1%
France 10 <1%
Spain 7 <1%
Canada 7 <1%
Sweden 6 <1%
Switzerland 3 <1%
Brazil 3 <1%
Other 23 2%
Unknown 991 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 365 33%
Researcher 178 16%
Student > Master 151 13%
Professor > Associate Professor 61 5%
Professor 52 5%
Other 181 16%
Unknown 132 12%
Readers by discipline Count As %
Engineering 346 31%
Computer Science 240 21%
Mathematics 125 11%
Agricultural and Biological Sciences 40 4%
Earth and Planetary Sciences 31 3%
Other 167 15%
Unknown 171 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 September 2008.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Statistics and Computing
#188
of 608 outputs
Outputs of similar age
#13,226
of 39,276 outputs
Outputs of similar age from Statistics and Computing
#1
of 2 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 608 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 57% 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 39,276 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
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