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nSimplex Zen: A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces

Overview of attention for article published in ACM Transactions on Knowledge Discovery from Data, April 2024
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Title
nSimplex Zen: A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces
Published in
ACM Transactions on Knowledge Discovery from Data, April 2024
DOI 10.1145/3647642
Authors

Richard Connor, Lucia Vadicamo

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 February 2023.
All research outputs
#16,983,185
of 25,738,558 outputs
Outputs from ACM Transactions on Knowledge Discovery from Data
#148
of 274 outputs
Outputs of similar age
#84,855
of 178,193 outputs
Outputs of similar age from ACM Transactions on Knowledge Discovery from Data
#3
of 6 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 274 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 42nd percentile – i.e., 42% 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 178,193 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 50% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.