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Hardware Friendly Probabilistic Spiking Neural Network with Long-Term and Short-Term Plasticity

Overview of attention for article published in IEEE Transactions on Neural Networks and Learning Systems, July 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
2 patents

Readers on

mendeley
45 Mendeley
citeulike
1 CiteULike
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Article details
Title
Hardware Friendly Probabilistic Spiking Neural Network with Long-Term and Short-Term Plasticity
Published in
IEEE Transactions on Neural Networks and Learning Systems, July 2013
DOI 10.1109/tnnls.2013.2271644
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

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

Geographical breakdown
Country Count As %
Japan 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 8 18%
Student > Doctoral Student 5 11%
Student > Ph. D. Student 5 11%
Other 4 9%
Professor 3 7%
Other 9 20%
Unknown 11 24%
Readers by discipline
Readers by discipline Count As %
Engineering 14 31%
Computer Science 12 27%
Physics and Astronomy 1 2%
Sports and Recreations 1 2%
Social Sciences 1 2%
Other 2 4%
Unknown 14 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 19 April 2022.
All research outputs
#5,448,088
of 25,377,790 outputs
Outputs from IEEE Transactions on Neural Networks and Learning Systems
#250
of 3,393 outputs
Outputs of similar age
#44,312
of 209,587 outputs
Outputs of similar age from IEEE Transactions on Neural Networks and Learning Systems
#4
of 14 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,393 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 88% 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 209,587 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 14 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 50% of its contemporaries.