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Removing non-stationary noise in spectrum sensing using matrix factorization

Overview of attention for article published in EURASIP Journal on Advances in Signal Processing, April 2013
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About this Attention Score

  • Among the highest-scoring outputs from this source (#24 of 119)

Mentioned by

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1 Facebook page

Citations

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3 Dimensions

Readers on

mendeley
14 Mendeley
Title
Removing non-stationary noise in spectrum sensing using matrix factorization
Published in
EURASIP Journal on Advances in Signal Processing, April 2013
DOI 10.1186/1687-6180-2013-72
Authors

Jan-Willem van Bloem, Roel Schiphorst, Cornelis H Slump

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 7%
India 1 7%
Russia 1 7%
France 1 7%
Unknown 10 71%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Researcher 3 21%
Student > Master 3 21%
Student > Doctoral Student 2 14%
Lecturer 1 7%
Other 1 7%
Unknown 1 7%
Readers by discipline Count As %
Engineering 6 43%
Computer Science 2 14%
Mathematics 1 7%
Economics, Econometrics and Finance 1 7%
Neuroscience 1 7%
Other 1 7%
Unknown 2 14%

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 10 April 2013.
All research outputs
#2,905,033
of 3,627,884 outputs
Outputs from EURASIP Journal on Advances in Signal Processing
#24
of 119 outputs
Outputs of similar age
#66,140
of 85,484 outputs
Outputs of similar age from EURASIP Journal on Advances in Signal Processing
#1
of 1 outputs
Altmetric has tracked 3,627,884 research outputs across all sources so far. This one is in the 2nd percentile – i.e., 2% of other outputs scored the same or lower than it.
So far Altmetric has tracked 119 research outputs from this source. They receive a mean Attention Score of 0.7. This one is in the 1st percentile – i.e., 1% 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 85,484 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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