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Evolution of control with learning classifier systems

Overview of attention for article published in Applied Network Science, August 2018
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Mentioned by

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2 X users

Citations

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21 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Evolution of control with learning classifier systems
Published in
Applied Network Science, August 2018
DOI 10.1007/s41109-018-0088-x
Pubmed ID
Authors

Matthew R. Karlsen, Sotiris Moschoyiannis

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Student > Doctoral Student 2 22%
Student > Bachelor 1 11%
Student > Master 1 11%
Researcher 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 8 89%
Unknown 1 11%
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 August 2018.
All research outputs
#15,543,612
of 23,100,534 outputs
Outputs from Applied Network Science
#369
of 506 outputs
Outputs of similar age
#209,913
of 330,840 outputs
Outputs of similar age from Applied Network Science
#28
of 28 outputs
Altmetric has tracked 23,100,534 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 506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 23rd percentile – i.e., 23% 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 330,840 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 28 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.