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Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces

Overview of attention for article published in Journal of Global Optimization, December 1997
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 307)
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
policy
1 policy source
twitter
3 X users
patent
4 patents
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
20869 Dimensions

Readers on

mendeley
4780 Mendeley
citeulike
22 CiteULike
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Title
Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
Published in
Journal of Global Optimization, December 1997
DOI 10.1023/a:1008202821328
Authors

Rainer Storn, Kenneth Price

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 4,780 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 30 <1%
United Kingdom 18 <1%
Germany 14 <1%
Brazil 12 <1%
Spain 11 <1%
Canada 6 <1%
Australia 5 <1%
Belgium 5 <1%
China 5 <1%
Other 72 2%
Unknown 4602 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1201 25%
Student > Master 792 17%
Researcher 481 10%
Student > Bachelor 283 6%
Student > Doctoral Student 251 5%
Other 705 15%
Unknown 1067 22%
Readers by discipline Count As %
Engineering 1497 31%
Computer Science 823 17%
Physics and Astronomy 204 4%
Mathematics 121 3%
Agricultural and Biological Sciences 98 2%
Other 668 14%
Unknown 1369 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 25 January 2024.
All research outputs
#1,092,961
of 25,837,817 outputs
Outputs from Journal of Global Optimization
#4
of 307 outputs
Outputs of similar age
#730
of 96,043 outputs
Outputs of similar age from Journal of Global Optimization
#1
of 2 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 307 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 98% 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 96,043 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
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. This one has scored higher than all of them