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Is Neuromorphic MNIST Neuromorphic? Analyzing the Discriminative Power of Neuromorphic Datasets in the Time Domain

Overview of attention for article published in Frontiers in Neuroscience, March 2021
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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4 X users

Citations

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27 Dimensions

Readers on

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73 Mendeley
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Title
Is Neuromorphic MNIST Neuromorphic? Analyzing the Discriminative Power of Neuromorphic Datasets in the Time Domain
Published in
Frontiers in Neuroscience, March 2021
DOI 10.3389/fnins.2021.608567
Pubmed ID
Authors

Laxmi R. Iyer, Yansong Chua, Haizhou Li

Timeline

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 22%
Student > Ph. D. Student 13 18%
Researcher 9 12%
Student > Doctoral Student 6 8%
Student > Postgraduate 3 4%
Other 7 10%
Unknown 19 26%
Readers by discipline Count As %
Engineering 24 33%
Computer Science 17 23%
Physics and Astronomy 4 5%
Mathematics 2 3%
Neuroscience 2 3%
Other 5 7%
Unknown 19 26%
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 17 December 2019.
All research outputs
#15,179,141
of 25,385,509 outputs
Outputs from Frontiers in Neuroscience
#6,416
of 11,543 outputs
Outputs of similar age
#227,445
of 453,289 outputs
Outputs of similar age from Frontiers in Neuroscience
#272
of 399 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% 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 42nd percentile – i.e., 42% 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 453,289 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 399 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.