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First-spike coding promotes accurate and efficient spiking neural networks for discrete events with rich temporal structures

Overview of attention for article published in Frontiers in Neuroscience, October 2023
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2 X users

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2 Mendeley
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Title
First-spike coding promotes accurate and efficient spiking neural networks for discrete events with rich temporal structures
Published in
Frontiers in Neuroscience, October 2023
DOI 10.3389/fnins.2023.1266003
Pubmed ID
Authors

Siying Liu, Vincent C. H. Leung, Pier Luigi Dragotti

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Engineering 1 50%
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 22 October 2023.
All research outputs
#20,673,680
of 25,394,764 outputs
Outputs from Frontiers in Neuroscience
#9,463
of 11,544 outputs
Outputs of similar age
#251,517
of 354,800 outputs
Outputs of similar age from Frontiers in Neuroscience
#192
of 281 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,544 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 12th percentile – i.e., 12% 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 354,800 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 281 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.