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A biased random key genetic algorithm applied to the electric distribution network reconfiguration problem

Overview of attention for article published in Journal of Heuristics, August 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users
googleplus
1 Google+ user

Citations

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30 Dimensions

Readers on

mendeley
25 Mendeley
Title
A biased random key genetic algorithm applied to the electric distribution network reconfiguration problem
Published in
Journal of Heuristics, August 2017
DOI 10.1007/s10732-017-9355-8
Authors

H. de Faria, M. G. C. Resende, D. Ernst

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

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 32%
Professor > Associate Professor 3 12%
Student > Doctoral Student 2 8%
Lecturer > Senior Lecturer 2 8%
Student > Ph. D. Student 2 8%
Other 4 16%
Unknown 4 16%
Readers by discipline Count As %
Engineering 14 56%
Computer Science 3 12%
Mathematics 1 4%
Energy 1 4%
Environmental Science 1 4%
Other 0 0%
Unknown 5 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 August 2017.
All research outputs
#14,077,971
of 22,997,544 outputs
Outputs from Journal of Heuristics
#53
of 106 outputs
Outputs of similar age
#154,140
of 287,821 outputs
Outputs of similar age from Journal of Heuristics
#1
of 2 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 50% 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 287,821 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% 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