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A Bipartite Genetic Algorithm for Multi-processor Task Scheduling

Overview of attention for article published in International Journal of Parallel Programming, June 2009
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Mentioned by

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1 Facebook page

Citations

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25 Dimensions

Readers on

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7 Mendeley
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Title
A Bipartite Genetic Algorithm for Multi-processor Task Scheduling
Published in
International Journal of Parallel Programming, June 2009
DOI 10.1007/s10766-009-0107-8
Authors

Mohammad Reza Bonyadi, Mohsen Ebrahimi Moghaddam

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 14%
Other 1 14%
Student > Bachelor 1 14%
Student > Master 1 14%
Student > Postgraduate 1 14%
Other 0 0%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 3 43%
Engineering 2 29%
Unknown 2 29%
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 19 May 2014.
All research outputs
#20,230,558
of 22,756,196 outputs
Outputs from International Journal of Parallel Programming
#162
of 170 outputs
Outputs of similar age
#109,408
of 113,720 outputs
Outputs of similar age from International Journal of Parallel Programming
#2
of 2 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 170 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% 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 113,720 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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.