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A survey of semantic methods in genetic programming

Overview of attention for article published in Genetic Programming and Evolvable Machines, January 2014
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1 X user

Citations

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92 Mendeley
Title
A survey of semantic methods in genetic programming
Published in
Genetic Programming and Evolvable Machines, January 2014
DOI 10.1007/s10710-013-9210-0
Authors

Leonardo Vanneschi, Mauro Castelli, Sara Silva

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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Poland 1 1%
Unknown 90 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 27%
Student > Master 15 16%
Researcher 6 7%
Professor 6 7%
Student > Bachelor 5 5%
Other 16 17%
Unknown 19 21%
Readers by discipline Count As %
Computer Science 51 55%
Engineering 9 10%
Biochemistry, Genetics and Molecular Biology 2 2%
Arts and Humanities 2 2%
Nursing and Health Professions 1 1%
Other 5 5%
Unknown 22 24%
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 06 June 2014.
All research outputs
#18,373,576
of 22,757,090 outputs
Outputs from Genetic Programming and Evolvable Machines
#110
of 121 outputs
Outputs of similar age
#227,760
of 304,459 outputs
Outputs of similar age from Genetic Programming and Evolvable Machines
#2
of 2 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 121 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 5th percentile – i.e., 5% 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 304,459 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.