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Robust adaptive filtering using recursive weighted least squares with combined scale and variable forgetting factors

Overview of attention for article published in EURASIP Journal on Advances in Signal Processing, March 2016
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Mentioned by

twitter
1 tweeter

Citations

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8 Dimensions

Readers on

mendeley
13 Mendeley
Title
Robust adaptive filtering using recursive weighted least squares with combined scale and variable forgetting factors
Published in
EURASIP Journal on Advances in Signal Processing, March 2016
DOI 10.1186/s13634-016-0341-3
Pubmed ID
Authors

Branko Kovačević, Zoran Banjac, Ivana Kostić Kovačević

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 23%
Student > Ph. D. Student 3 23%
Student > Postgraduate 2 15%
Researcher 2 15%
Student > Doctoral Student 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Engineering 9 69%
Computer Science 1 8%
Mathematics 1 8%
Unknown 2 15%

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 03 March 2021.
All research outputs
#16,408,807
of 20,406,949 outputs
Outputs from EURASIP Journal on Advances in Signal Processing
#290
of 422 outputs
Outputs of similar age
#234,821
of 313,132 outputs
Outputs of similar age from EURASIP Journal on Advances in Signal Processing
#1
of 1 outputs
Altmetric has tracked 20,406,949 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 422 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 22nd percentile – i.e., 22% 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 313,132 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% 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