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Application of Cascade Correlation Networks for Structures to Chemistry

Overview of attention for article published in Applied Intelligence, January 2000
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 1,989)
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

blogs
1 blog
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
29 Mendeley
Title
Application of Cascade Correlation Networks for Structures to Chemistry
Published in
Applied Intelligence, January 2000
DOI 10.1023/a:1008368105614
Authors

Anna Maria Bianucci, Alessio Micheli, Alessandro Sperduti, Antonina Starita

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 3%
Italy 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 24%
Researcher 7 24%
Student > Doctoral Student 3 10%
Student > Bachelor 2 7%
Student > Master 2 7%
Other 3 10%
Unknown 5 17%
Readers by discipline Count As %
Computer Science 8 28%
Chemistry 5 17%
Materials Science 4 14%
Chemical Engineering 2 7%
Medicine and Dentistry 1 3%
Other 2 7%
Unknown 7 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 01 May 2020.
All research outputs
#4,312,846
of 25,374,917 outputs
Outputs from Applied Intelligence
#27
of 1,989 outputs
Outputs of similar age
#8,994
of 109,782 outputs
Outputs of similar age from Applied Intelligence
#1
of 1 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,989 research outputs from this source. They receive a mean Attention Score of 1.0. This one has done particularly well, scoring higher than 98% 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 109,782 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 1 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