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A Multiplicative Algorithm for Convolutive Non-Negative Matrix Factorization Based on Squared Euclidean Distance

Overview of attention for article published in IEEE Transactions on Signal Processing, March 2009
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1 patent

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32 Mendeley
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Article details
Title
A Multiplicative Algorithm for Convolutive Non-Negative Matrix Factorization Based on Squared Euclidean Distance
Published in
IEEE Transactions on Signal Processing, March 2009
DOI 10.1109/tsp.2009.2016881
Authors

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Australia 2 6%
United States 1 3%
France 1 3%
China 1 3%
Unknown 27 84%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 31%
Researcher 6 19%
Professor 4 13%
Student > Master 4 13%
Professor > Associate Professor 3 9%
Other 3 9%
Unknown 2 6%
Readers by discipline
Readers by discipline Count As %
Computer Science 12 38%
Engineering 10 31%
Mathematics 4 13%
Arts and Humanities 1 3%
Economics, Econometrics and Finance 1 3%
Other 1 3%
Unknown 3 9%
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 28 December 2021.
All research outputs
#8,535,684
of 25,377,790 outputs
Outputs from IEEE Transactions on Signal Processing
#1,406
of 5,463 outputs
Outputs of similar age
#38,489
of 108,933 outputs
Outputs of similar age from IEEE Transactions on Signal Processing
#8
of 28 outputs
Altmetric has tracked 25,377,790 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 5,463 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 29th percentile – i.e., 29% 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 108,933 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.