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Novel metaheuristic based on multiverse theory for optimization problems in emerging systems

Overview of attention for article published in Applied Intelligence, November 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
23 Mendeley
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Article details
Title
Novel metaheuristic based on multiverse theory for optimization problems in emerging systems
Published in
Applied Intelligence, November 2020
DOI 10.1007/s10489-020-01920-z
Pubmed ID
Authors

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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 23 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 23 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Professor > Associate Professor 3 13%
Lecturer 2 9%
Student > Bachelor 2 9%
Student > Ph. D. Student 2 9%
Lecturer > Senior Lecturer 1 4%
Other 2 9%
Unknown 11 48%
Readers by discipline
Readers by discipline Count As %
Engineering 5 22%
Computer Science 4 17%
Arts and Humanities 1 4%
Agricultural and Biological Sciences 1 4%
Energy 1 4%
Other 1 4%
Unknown 10 43%
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 10 August 2024.
All research outputs
#8,969,456
of 26,448,463 outputs
Outputs from Applied Intelligence
#123
of 2,092 outputs
Outputs of similar age
#178,936
of 439,692 outputs
Outputs of similar age from Applied Intelligence
#7
of 17 outputs
Altmetric has tracked 26,448,463 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,092 research outputs from this source. They receive a mean Attention Score of 1.0. This one has done well, scoring higher than 88% 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 439,692 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 53% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.