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A review on probabilistic graphical models in evolutionary computation

Overview of attention for article published in Journal of Heuristics, August 2012
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About this Attention Score

  • Among the highest-scoring outputs from this source (#15 of 106)
  • Average Attention Score compared to outputs of the same age

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
68 Dimensions

Readers on

mendeley
83 Mendeley
Title
A review on probabilistic graphical models in evolutionary computation
Published in
Journal of Heuristics, August 2012
DOI 10.1007/s10732-012-9208-4
Authors

Pedro Larrañaga, Hossein Karshenas, Concha Bielza, Roberto Santana

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
South Africa 1 1%
Brazil 1 1%
Unknown 80 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 28%
Student > Master 14 17%
Student > Bachelor 8 10%
Professor 5 6%
Researcher 5 6%
Other 15 18%
Unknown 13 16%
Readers by discipline Count As %
Computer Science 39 47%
Engineering 16 19%
Economics, Econometrics and Finance 3 4%
Business, Management and Accounting 2 2%
Physics and Astronomy 2 2%
Other 6 7%
Unknown 15 18%
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 11 August 2016.
All research outputs
#7,486,210
of 22,882,389 outputs
Outputs from Journal of Heuristics
#15
of 106 outputs
Outputs of similar age
#55,895
of 169,419 outputs
Outputs of similar age from Journal of Heuristics
#1
of 2 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 106 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 57% 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 169,419 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
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