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Nonlinear filtering via stochastic PDE projection on mixture manifolds in $$L^2$$ L 2 direct metric

Overview of attention for article published in Mathematics of Control, Signals, and Systems, December 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

twitter
2 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
6 Mendeley
Title
Nonlinear filtering via stochastic PDE projection on mixture manifolds in $$L^2$$ L 2 direct metric
Published in
Mathematics of Control, Signals, and Systems, December 2015
DOI 10.1007/s00498-015-0154-1
Authors

John Armstrong, Damiano Brigo

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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Researcher 1 17%
Unknown 3 50%
Readers by discipline Count As %
Mathematics 2 33%
Engineering 2 33%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 23 July 2023.
All research outputs
#6,170,050
of 24,129,125 outputs
Outputs from Mathematics of Control, Signals, and Systems
#4
of 27 outputs
Outputs of similar age
#92,140
of 397,187 outputs
Outputs of similar age from Mathematics of Control, Signals, and Systems
#1
of 1 outputs
Altmetric has tracked 24,129,125 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 27 research outputs from this source. They receive a mean Attention Score of 3.3. This one scored the same or higher as 23 of them.
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 397,187 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 76% of its contemporaries.
We're also able to compare this research output to 1 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