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On the automated, evolutionary design of neural networks: past, present, and future

Overview of attention for article published in Neural Computing & Applications, March 2019
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About this Attention Score

  • Among the highest-scoring outputs from this source (#39 of 256)
  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
21 Mendeley
Title
On the automated, evolutionary design of neural networks: past, present, and future
Published in
Neural Computing & Applications, March 2019
DOI 10.1007/s00521-019-04160-6
Authors

Alejandro Baldominos, Yago Saez, Pedro Isasi

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 29%
Student > Master 4 19%
Professor 3 14%
Student > Bachelor 2 10%
Student > Ph. D. Student 2 10%
Other 2 10%
Unknown 2 10%
Readers by discipline Count As %
Computer Science 11 52%
Engineering 2 10%
Decision Sciences 1 5%
Neuroscience 1 5%
Chemistry 1 5%
Other 1 5%
Unknown 4 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 October 2019.
All research outputs
#4,094,917
of 14,150,424 outputs
Outputs from Neural Computing & Applications
#39
of 256 outputs
Outputs of similar age
#100,090
of 263,840 outputs
Outputs of similar age from Neural Computing & Applications
#1
of 4 outputs
Altmetric has tracked 14,150,424 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 256 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done well, scoring higher than 84% 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 263,840 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 61% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them