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A canonical polyadic tensor basis for fast Bayesian estimation of multi-subject brain activation patterns

Overview of attention for article published in Frontiers in Neuroinformatics, August 2024
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Title
A canonical polyadic tensor basis for fast Bayesian estimation of multi-subject brain activation patterns
Published in
Frontiers in Neuroinformatics, August 2024
DOI 10.3389/fninf.2024.1399391
Pubmed ID
Authors

Michelle F. Miranda

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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 19 August 2024.
All research outputs
#23,805,722
of 26,496,895 outputs
Outputs from Frontiers in Neuroinformatics
#752
of 858 outputs
Outputs of similar age
#118,803
of 152,900 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#5
of 8 outputs
Altmetric has tracked 26,496,895 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 858 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 8 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.