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Resolution of pattern recognition problems using a hybrid Genetic/Random Neural Network learning algorithm

Overview of attention for article published in Pattern Analysis and Applications, March 1998
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About this Attention Score

  • Among the highest-scoring outputs from this source (#43 of 349)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
14 Mendeley
Title
Resolution of pattern recognition problems using a hybrid Genetic/Random Neural Network learning algorithm
Published in
Pattern Analysis and Applications, March 1998
DOI 10.1007/bf01238026
Authors

J. Aguilar, A. Colmenares

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Student > Doctoral Student 2 14%
Student > Bachelor 2 14%
Lecturer 1 7%
Other 1 7%
Other 3 21%
Unknown 2 14%
Readers by discipline Count As %
Computer Science 4 29%
Economics, Econometrics and Finance 2 14%
Agricultural and Biological Sciences 1 7%
Physics and Astronomy 1 7%
Engineering 1 7%
Other 0 0%
Unknown 5 36%
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 28 May 2008.
All research outputs
#7,863,403
of 23,842,189 outputs
Outputs from Pattern Analysis and Applications
#43
of 349 outputs
Outputs of similar age
#10,163
of 32,611 outputs
Outputs of similar age from Pattern Analysis and Applications
#1
of 4 outputs
Altmetric has tracked 23,842,189 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 349 research outputs from this source. They receive a mean Attention Score of 1.9. This one has gotten more attention than average, scoring higher than 61% 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 32,611 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
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