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PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization

Overview of attention for article published in IEEE Computational Intelligence Magazine, October 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Readers on

mendeley
408 Mendeley
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Article details
Title
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization
Published in
IEEE Computational Intelligence Magazine, October 2017
DOI 10.1109/mci.2017.2742868
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 408 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 %
Netherlands 1 <1%
Unknown 407 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 86 21%
Student > Master 46 11%
Researcher 21 5%
Student > Bachelor 20 5%
Student > Doctoral Student 19 5%
Other 62 15%
Unknown 154 38%
Readers by discipline
Readers by discipline Count As %
Engineering 110 27%
Computer Science 79 19%
Chemical Engineering 8 2%
Mathematics 7 2%
Decision Sciences 5 1%
Other 29 7%
Unknown 170 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 08 March 2024.
All research outputs
#11,979,702
of 34,519,212 outputs
Outputs from IEEE Computational Intelligence Magazine
#54
of 467 outputs
Outputs of similar age
#140,877
of 364,823 outputs
Outputs of similar age from IEEE Computational Intelligence Magazine
#2
of 25 outputs
Altmetric has tracked 34,519,212 research outputs across all sources so far. This one has received more attention than most of these and is in the 64th percentile.
So far Altmetric has tracked 467 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 85% 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 364,823 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 60% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.