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Blind source separation with optimal transport non-negative matrix factorization

Overview of attention for article published in EURASIP Journal on Advances in Signal Processing, September 2018
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About this Attention Score

  • Among the highest-scoring outputs from this source (#42 of 309)
  • Good Attention Score compared to outputs of the same age (65th percentile)

Mentioned by

twitter
10 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Blind source separation with optimal transport non-negative matrix factorization
Published in
EURASIP Journal on Advances in Signal Processing, September 2018
DOI 10.1186/s13634-018-0576-2
Authors

Antoine Rolet, Vivien Seguy, Mathieu Blondel, Hiroshi Sawada

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters 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 2 15%
Researcher 2 15%
Other 2 15%
Student > Bachelor 1 8%
Other 0 0%
Unknown 3 23%
Readers by discipline Count As %
Engineering 4 31%
Computer Science 3 23%
Physics and Astronomy 1 8%
Mathematics 1 8%
Unknown 4 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 September 2018.
All research outputs
#3,669,839
of 13,480,923 outputs
Outputs from EURASIP Journal on Advances in Signal Processing
#42
of 309 outputs
Outputs of similar age
#93,407
of 272,189 outputs
Outputs of similar age from EURASIP Journal on Advances in Signal Processing
#1
of 1 outputs
Altmetric has tracked 13,480,923 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 309 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 86% of its peers.
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 272,189 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% 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