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BayesianSpikeFusion: accelerating spiking neural network inference via Bayesian fusion of early prediction

Overview of attention for article published in Frontiers in Neuroscience, August 2024
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Title
BayesianSpikeFusion: accelerating spiking neural network inference via Bayesian fusion of early prediction
Published in
Frontiers in Neuroscience, August 2024
DOI 10.3389/fnins.2024.1420119
Pubmed ID
Authors

Takehiro Habara, Takashi Sato, Hiromitsu Awano

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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 10 August 2024.
All research outputs
#23,761,132
of 26,449,643 outputs
Outputs from Frontiers in Neuroscience
#10,467
of 11,880 outputs
Outputs of similar age
#116,452
of 150,243 outputs
Outputs of similar age from Frontiers in Neuroscience
#64
of 92 outputs
Altmetric has tracked 26,449,643 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 11,880 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 1st percentile – i.e., 1% 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 150,243 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.