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Artificial Neural Networks and Machine Learning – ICANN 2021

Overview of attention for book
Artificial Neural Networks and Machine Learning – ICANN 2021
Springer International Publishing
Attention for Chapter: Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks
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3 Mendeley
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Chapter title
Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks
Book title
Artificial Neural Networks and Machine Learning – ICANN 2021
Published in
arXiv, September 2021
DOI 10.1007/978-3-030-86340-1_19
Book ISBNs
978-3-03-086339-5, 978-3-03-086340-1
Authors

Kovalenko, Alexander, Kordík, Pavel, Friedjungová, Magda, Alexander Kovalenko, Pavel Kordík, Magda Friedjungová

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Student > Master 1 33%
Professor 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Business, Management and Accounting 1 33%
Engineering 1 33%
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 21 September 2021.
All research outputs
#19,594,120
of 24,093,053 outputs
Outputs from arXiv
#580,062
of 1,020,419 outputs
Outputs of similar age
#314,796
of 417,343 outputs
Outputs of similar age from arXiv
#19,981
of 33,919 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 25th percentile – i.e., 25% 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 417,343 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33,919 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.