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Accelerated SVD-based initialization for nonnegative matrix factorization

Overview of attention for article published in Computational and Applied Mathematics, September 2024
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Title
Accelerated SVD-based initialization for nonnegative matrix factorization
Published in
Computational and Applied Mathematics, September 2024
DOI 10.1007/s40314-024-02905-1
Authors

Flavia Esposito, Syed Muhammad Atif, Nicolas Gillis

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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 03 September 2024.
All research outputs
#18,147,452
of 26,552,644 outputs
Outputs from Computational and Applied Mathematics
#34
of 93 outputs
Outputs of similar age
#64,135
of 130,366 outputs
Outputs of similar age from Computational and Applied Mathematics
#1
of 1 outputs
Altmetric has tracked 26,552,644 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 93 research outputs from this source. They receive a mean Attention Score of 1.3. This one is in the 43rd percentile – i.e., 43% 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 130,366 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% 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