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A Swarm Optimization Solver Based on Ferroelectric Spiking Neural Networks

Overview of attention for article published in Frontiers in Neuroscience, August 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
4 X users

Citations

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19 Dimensions

Readers on

mendeley
45 Mendeley
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Title
A Swarm Optimization Solver Based on Ferroelectric Spiking Neural Networks
Published in
Frontiers in Neuroscience, August 2019
DOI 10.3389/fnins.2019.00855
Pubmed ID
Authors

Yan Fang, Zheng Wang, Jorge Gomez, Suman Datta, Asif I. Khan, Arijit Raychowdhury

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 16%
Researcher 6 13%
Student > Master 6 13%
Other 2 4%
Professor 2 4%
Other 4 9%
Unknown 18 40%
Readers by discipline Count As %
Engineering 13 29%
Computer Science 5 11%
Physics and Astronomy 3 7%
Materials Science 2 4%
Nursing and Health Professions 1 2%
Other 4 9%
Unknown 17 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 13 August 2019.
All research outputs
#7,719,491
of 25,385,509 outputs
Outputs from Frontiers in Neuroscience
#4,886
of 11,543 outputs
Outputs of similar age
#126,803
of 353,823 outputs
Outputs of similar age from Frontiers in Neuroscience
#148
of 342 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
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 has gotten more attention than average, scoring higher than 57% of its peers.
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 353,823 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 342 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.