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A novel genetic algorithm based on all spanning trees of undirected graph for distribution network reconfiguration

Overview of attention for article published in Journal of Modern Power Systems and Clean Energy, June 2014
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

peer_reviews
1 peer review site

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
22 Mendeley
Title
A novel genetic algorithm based on all spanning trees of undirected graph for distribution network reconfiguration
Published in
Journal of Modern Power Systems and Clean Energy, June 2014
DOI 10.1007/s40565-014-0056-0
Authors

Jian ZHANG, Xiaodong YUAN, Yubo YUAN

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 5%
India 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 32%
Student > Ph. D. Student 5 23%
Professor > Associate Professor 2 9%
Other 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 6 27%
Readers by discipline Count As %
Engineering 10 45%
Biochemistry, Genetics and Molecular Biology 1 5%
Energy 1 5%
Computer Science 1 5%
Unknown 9 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 April 2018.
All research outputs
#15,505,836
of 23,043,346 outputs
Outputs from Journal of Modern Power Systems and Clean Energy
#75
of 360 outputs
Outputs of similar age
#134,501
of 229,473 outputs
Outputs of similar age from Journal of Modern Power Systems and Clean Energy
#5
of 10 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 360 research outputs from this source. They receive a mean Attention Score of 1.5. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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 229,473 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.