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Spiking Autoencoders With Temporal Coding

Overview of attention for article published in Frontiers in Neuroscience, August 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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10 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Spiking Autoencoders With Temporal Coding
Published in
Frontiers in Neuroscience, August 2021
DOI 10.3389/fnins.2021.712667
Pubmed ID
Authors

Iulia-Maria Comşa, Luca Versari, Thomas Fischbacher, Jyrki Alakuijala

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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Researcher 3 9%
Student > Master 2 6%
Student > Bachelor 1 3%
Student > Doctoral Student 1 3%
Other 0 0%
Unknown 18 53%
Readers by discipline Count As %
Engineering 7 21%
Computer Science 5 15%
Physics and Astronomy 2 6%
Neuroscience 1 3%
Unknown 19 56%
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 06 June 2023.
All research outputs
#16,059,145
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#7,082
of 11,543 outputs
Outputs of similar age
#231,887
of 436,557 outputs
Outputs of similar age from Frontiers in Neuroscience
#219
of 407 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,543 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 36th percentile – i.e., 36% 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 436,557 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 407 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.