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Inverse multi-objective robust evolutionary design

Overview of attention for article published in Genetic Programming and Evolvable Machines, September 2006
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About this Attention Score

  • Among the highest-scoring outputs from this source (#41 of 121)

Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
49 Mendeley
citeulike
2 CiteULike
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Article details
Title
Inverse multi-objective robust evolutionary design
Published in
Genetic Programming and Evolvable Machines, September 2006
DOI 10.1007/s10710-006-9013-7
Authors

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 4%
Italy 1 2%
Hong Kong 1 2%
United Kingdom 1 2%
Switzerland 1 2%
Australia 1 2%
Unknown 42 86%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 12 24%
Researcher 9 18%
Student > Master 8 16%
Professor > Associate Professor 5 10%
Student > Bachelor 2 4%
Other 5 10%
Unknown 8 16%
Readers by discipline
Readers by discipline Count As %
Computer Science 20 41%
Engineering 7 14%
Decision Sciences 3 6%
Mathematics 2 4%
Physics and Astronomy 2 4%
Other 4 8%
Unknown 11 22%
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 03 October 2010.
All research outputs
#7,453,479
of 22,786,691 outputs
Outputs from Genetic Programming and Evolvable Machines
#41
of 121 outputs
Outputs of similar age
#19,428
of 55,959 outputs
Outputs of similar age from Genetic Programming and Evolvable Machines
#1
of 1 outputs
Altmetric has tracked 22,786,691 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% 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 47th percentile – i.e., 47% 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 55,959 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% 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