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Assessment of prediction ability for reduced probabilistic neural network in data classification problems

Overview of attention for article published in Soft Computing, October 2016
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1 X user

Citations

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18 Mendeley
Title
Assessment of prediction ability for reduced probabilistic neural network in data classification problems
Published in
Soft Computing, October 2016
DOI 10.1007/s00500-016-2382-9
Authors

Maciej Kusy, Jacek Kluska

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Professor 3 17%
Student > Bachelor 2 11%
Student > Master 2 11%
Student > Doctoral Student 1 6%
Other 2 11%
Unknown 3 17%
Readers by discipline Count As %
Computer Science 7 39%
Engineering 3 17%
Mathematics 2 11%
Medicine and Dentistry 1 6%
Unknown 5 28%
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 17 May 2017.
All research outputs
#16,060,819
of 23,839,820 outputs
Outputs from Soft Computing
#258
of 465 outputs
Outputs of similar age
#204,724
of 322,070 outputs
Outputs of similar age from Soft Computing
#9
of 13 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 465 research outputs from this source. They receive a mean Attention Score of 3.6. 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 322,070 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
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 is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.