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Toward Reflective Spiking Neural Networks Exploiting Memristive Devices

Overview of attention for article published in Frontiers in Computational Neuroscience, June 2022
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1 X user

Citations

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22 Dimensions

Readers on

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18 Mendeley
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Title
Toward Reflective Spiking Neural Networks Exploiting Memristive Devices
Published in
Frontiers in Computational Neuroscience, June 2022
DOI 10.3389/fncom.2022.859874
Pubmed ID
Authors

Valeri A. Makarov, Sergey A. Lobov, Sergey Shchanikov, Alexey Mikhaylov, Viktor B. Kazantsev

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 22%
Student > Bachelor 2 11%
Lecturer 2 11%
Student > Ph. D. Student 2 11%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 7 39%
Readers by discipline Count As %
Neuroscience 3 17%
Engineering 3 17%
Physics and Astronomy 2 11%
Materials Science 1 6%
Business, Management and Accounting 1 6%
Other 0 0%
Unknown 8 44%
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 29 June 2022.
All research outputs
#22,541,446
of 25,145,981 outputs
Outputs from Frontiers in Computational Neuroscience
#1,229
of 1,443 outputs
Outputs of similar age
#344,406
of 407,167 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#35
of 42 outputs
Altmetric has tracked 25,145,981 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 1,443 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. 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 407,167 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 42 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.