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Adaptive estimation for nonlinear systems using reproducing kernel Hilbert spaces

Overview of attention for article published in Advances in Computational Mathematics, October 2018
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Mentioned by

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1 X user

Citations

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21 Dimensions

Readers on

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7 Mendeley
Title
Adaptive estimation for nonlinear systems using reproducing kernel Hilbert spaces
Published in
Advances in Computational Mathematics, October 2018
DOI 10.1007/s10444-018-9639-z
Authors

Parag Bobade, Suprotim Majumdar, Savio Pereira, Andrew J. Kurdila, John B. Ferris

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Professor 2 29%
Student > Master 1 14%
Other 1 14%
Readers by discipline Count As %
Mathematics 4 57%
Engineering 2 29%
Computer Science 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 November 2018.
All research outputs
#18,822,154
of 23,325,355 outputs
Outputs from Advances in Computational Mathematics
#66
of 105 outputs
Outputs of similar age
#269,925
of 351,802 outputs
Outputs of similar age from Advances in Computational Mathematics
#1
of 1 outputs
Altmetric has tracked 23,325,355 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 105 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 351,802 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
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