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X Demographics
Mendeley readers
Attention Score in Context
Title |
ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks
|
---|---|
Published in |
Frontiers in Neuroscience, November 2021
|
DOI | 10.3389/fnins.2021.726582 |
Pubmed ID | |
Authors |
Yihan Lin, Wei Ding, Shaohua Qiang, Lei Deng, Guoqi Li |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 21% |
Taiwan | 1 | 7% |
United Kingdom | 1 | 7% |
Netherlands | 1 | 7% |
Japan | 1 | 7% |
Unknown | 7 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 86% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Practitioners (doctors, other healthcare professionals) | 1 | 7% |
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 % |
---|---|---|
Student > Postgraduate | 2 | 11% |
Student > Ph. D. Student | 2 | 11% |
Professor > Associate Professor | 2 | 11% |
Professor | 1 | 6% |
Student > Master | 1 | 6% |
Other | 0 | 0% |
Unknown | 10 | 56% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 28% |
Engineering | 2 | 11% |
Medicine and Dentistry | 1 | 6% |
Neuroscience | 1 | 6% |
Unknown | 9 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 07 December 2021.
All research outputs
#5,145,823
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#3,914
of 11,543 outputs
Outputs of similar age
#117,449
of 513,584 outputs
Outputs of similar age from Frontiers in Neuroscience
#90
of 383 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 65% 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 513,584 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 77% of its contemporaries.
We're also able to compare this research output to 383 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.