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Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization

Overview of attention for article published in Genetic Programming and Evolvable Machines, January 2012
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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 (#14 of 121)
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
41 Mendeley
citeulike
1 CiteULike
Title
Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization
Published in
Genetic Programming and Evolvable Machines, January 2012
DOI 10.1007/s10710-011-9153-2
Authors

Kalyan Veeramachaneni, Ekaterina Vladislavleva, Una-May O’Reilly

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
France 1 2%
Italy 1 2%
United Kingdom 1 2%
United States 1 2%
Unknown 36 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 20%
Student > Bachelor 7 17%
Researcher 7 17%
Student > Ph. D. Student 5 12%
Professor > Associate Professor 3 7%
Other 4 10%
Unknown 7 17%
Readers by discipline Count As %
Computer Science 20 49%
Engineering 4 10%
Agricultural and Biological Sciences 3 7%
Biochemistry, Genetics and Molecular Biology 2 5%
Business, Management and Accounting 1 2%
Other 3 7%
Unknown 8 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 25 January 2012.
All research outputs
#4,119,577
of 22,662,201 outputs
Outputs from Genetic Programming and Evolvable Machines
#14
of 121 outputs
Outputs of similar age
#36,078
of 246,013 outputs
Outputs of similar age from Genetic Programming and Evolvable Machines
#1
of 1 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 121 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 88% 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 246,013 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% 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