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Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization

Overview of attention for article published in Swarm and Evolutionary Computation, April 2018
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About this Attention Score

  • Among the highest-scoring outputs from this source (#21 of 127)
  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

twitter
2 X users
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
182 Dimensions

Readers on

mendeley
154 Mendeley
citeulike
1 CiteULike
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Title
Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization
Published in
Swarm and Evolutionary Computation, April 2018
DOI 10.1016/j.swevo.2017.09.001
Authors

Marco S. Nobile, Paolo Cazzaniga, Daniela Besozzi, Riccardo Colombo, Giancarlo Mauri, Gabriella Pasi

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 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 154 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 18%
Student > Master 17 11%
Researcher 12 8%
Student > Doctoral Student 9 6%
Professor 8 5%
Other 23 15%
Unknown 57 37%
Readers by discipline Count As %
Engineering 34 22%
Computer Science 29 19%
Physics and Astronomy 6 4%
Agricultural and Biological Sciences 3 2%
Energy 3 2%
Other 10 6%
Unknown 69 45%
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 02 February 2024.
All research outputs
#7,359,319
of 25,382,440 outputs
Outputs from Swarm and Evolutionary Computation
#21
of 127 outputs
Outputs of similar age
#121,277
of 343,807 outputs
Outputs of similar age from Swarm and Evolutionary Computation
#1
of 2 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 127 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 80% 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 343,807 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 63% 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