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Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks

Overview of attention for article published in Genetic Programming and Evolvable Machines, December 2002
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About this Attention Score

  • Among the highest-scoring outputs from this source (#42 of 128)

Mentioned by

patent
1 patent

Citations

dimensions_citation
139 Dimensions

Readers on

mendeley
67 Mendeley
Title
Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks
Published in
Genetic Programming and Evolvable Machines, December 2002
DOI 10.1023/a:1020984725014
Authors

Krzysztof Krawiec

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
France 1 1%
Italy 1 1%
Germany 1 1%
India 1 1%
Mexico 1 1%
China 1 1%
Poland 1 1%
Unknown 58 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 24%
Student > Master 15 22%
Researcher 11 16%
Student > Doctoral Student 5 7%
Professor > Associate Professor 5 7%
Other 9 13%
Unknown 6 9%
Readers by discipline Count As %
Computer Science 42 63%
Engineering 7 10%
Mathematics 2 3%
Physics and Astronomy 2 3%
Business, Management and Accounting 1 1%
Other 4 6%
Unknown 9 13%
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 29 March 2017.
All research outputs
#8,533,995
of 25,371,288 outputs
Outputs from Genetic Programming and Evolvable Machines
#42
of 128 outputs
Outputs of similar age
#33,209
of 135,784 outputs
Outputs of similar age from Genetic Programming and Evolvable Machines
#1
of 1 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 128 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 49th percentile – i.e., 49% 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 135,784 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
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