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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement
|
---|---|
Chapter number | 25 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2018
|
Published in |
arXiv, October 2018
|
DOI | 10.1007/978-3-030-01418-6_25 |
Book ISBNs |
978-3-03-001417-9, 978-3-03-001418-6
|
Authors |
René Larisch, Michael Teichmann, Fred H. Hamker, Larisch, René, Teichmann, Michael, Hamker, Fred H. |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 3 | 21% |
United States | 1 | 7% |
Unknown | 10 | 71% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 86% |
Scientists | 2 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 33% |
Student > Doctoral Student | 1 | 17% |
Other | 1 | 17% |
Student > Bachelor | 1 | 17% |
Researcher | 1 | 17% |
Other | 0 | 0% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 83% |
Unknown | 1 | 17% |
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 22 April 2022.
All research outputs
#6,490,550
of 25,734,859 outputs
Outputs from arXiv
#103,098
of 941,204 outputs
Outputs of similar age
#106,169
of 356,280 outputs
Outputs of similar age from arXiv
#2,744
of 20,379 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 941,204 research outputs from this source. They receive a mean Attention Score of 4.3. 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 356,280 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 70% of its contemporaries.
We're also able to compare this research output to 20,379 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.