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On randomization of neural networks as a form of post-learning strategy

Overview of attention for article published in Soft Computing, November 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
10 Mendeley
Title
On randomization of neural networks as a form of post-learning strategy
Published in
Soft Computing, November 2015
DOI 10.1007/s00500-015-1949-1
Authors

K. G. Kapanova, I. Dimov, J. M. Sellier

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 20%
Student > Doctoral Student 1 10%
Professor 1 10%
Student > Ph. D. Student 1 10%
Student > Master 1 10%
Other 2 20%
Unknown 2 20%
Readers by discipline Count As %
Mathematics 2 20%
Computer Science 2 20%
Engineering 2 20%
Chemistry 1 10%
Physics and Astronomy 1 10%
Other 0 0%
Unknown 2 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 September 2023.
All research outputs
#8,142,437
of 24,417,958 outputs
Outputs from Soft Computing
#95
of 492 outputs
Outputs of similar age
#123,828
of 396,005 outputs
Outputs of similar age from Soft Computing
#4
of 13 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 492 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 59% 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 396,005 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 54% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.