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Data-Driven Evolutionary Optimization: An Overview and Case Studies

Overview of attention for article published in IEEE Transactions on Evolutionary Computation, September 2018
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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 (#34 of 736)
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
1 X user
patent
1 patent
wikipedia
3 Wikipedia pages

Readers on

mendeley
345 Mendeley
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Article details
Title
Data-Driven Evolutionary Optimization: An Overview and Case Studies
Published in
IEEE Transactions on Evolutionary Computation, September 2018
DOI 10.1109/tevc.2018.2869001
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 345 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 %
Unknown 345 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 51 15%
Student > Master 35 10%
Researcher 20 6%
Student > Doctoral Student 19 6%
Professor > Associate Professor 12 3%
Other 55 16%
Unknown 153 44%
Readers by discipline
Readers by discipline Count As %
Computer Science 71 21%
Engineering 57 17%
Business, Management and Accounting 5 1%
Social Sciences 4 1%
Economics, Econometrics and Finance 4 1%
Other 26 8%
Unknown 178 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 23 June 2026.
All research outputs
#6,116,601
of 28,846,680 outputs
Outputs from IEEE Transactions on Evolutionary Computation
#34
of 736 outputs
Outputs of similar age
#96,879
of 351,867 outputs
Outputs of similar age from IEEE Transactions on Evolutionary Computation
#2
of 35 outputs
Altmetric has tracked 28,846,680 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 736 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 94% 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 351,867 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.