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Engineering Spiking Neurons Using Threshold Switching Devices for High-Efficient Neuromorphic Computing

Overview of attention for article published in Frontiers in Neuroscience, January 2022
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19 Mendeley
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Title
Engineering Spiking Neurons Using Threshold Switching Devices for High-Efficient Neuromorphic Computing
Published in
Frontiers in Neuroscience, January 2022
DOI 10.3389/fnins.2021.786694
Pubmed ID
Authors

Yanting Ding, Yajun Zhang, Xumeng Zhang, Pei Chen, Zefeng Zhang, Yue Yang, Lingli Cheng, Chen Mu, Ming Wang, Du Xiang, Guangjian Wu, Keji Zhou, Zhe Yuan, Qi Liu

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 32%
Other 2 11%
Professor 1 5%
Student > Master 1 5%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 8 42%
Readers by discipline Count As %
Engineering 4 21%
Physics and Astronomy 2 11%
Unspecified 1 5%
Sports and Recreations 1 5%
Economics, Econometrics and Finance 1 5%
Other 2 11%
Unknown 8 42%
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 17 January 2022.
All research outputs
#20,350,953
of 25,878,862 outputs
Outputs from Frontiers in Neuroscience
#8,907
of 11,726 outputs
Outputs of similar age
#374,657
of 522,431 outputs
Outputs of similar age from Frontiers in Neuroscience
#250
of 375 outputs
Altmetric has tracked 25,878,862 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,726 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 17th percentile – i.e., 17% 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 522,431 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 375 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.