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Bio-inspired algorithms for decentralized round-robin and proportional fair scheduling

Overview of attention for article published in IEEE Journal on Selected Areas in Communications, May 2010
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1 Facebook page

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36 Mendeley
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1 CiteULike
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Article details
Title
Bio-inspired algorithms for decentralized round-robin and proportional fair scheduling
Published in
IEEE Journal on Selected Areas in Communications, May 2010
DOI 10.1109/jsac.2010.100506
Authors

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 36 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 %
Malaysia 1 3%
Italy 1 3%
India 1 3%
France 1 3%
Germany 1 3%
Unknown 31 86%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 39%
Researcher 5 14%
Professor > Associate Professor 5 14%
Student > Master 4 11%
Student > Bachelor 2 6%
Other 4 11%
Unknown 2 6%
Readers by discipline
Readers by discipline Count As %
Engineering 19 53%
Computer Science 8 22%
Mathematics 3 8%
Social Sciences 1 3%
Neuroscience 1 3%
Other 0 0%
Unknown 4 11%
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 22 November 2012.
All research outputs
#22,760,732
of 25,377,790 outputs
Outputs from IEEE Journal on Selected Areas in Communications
#2,849
of 2,919 outputs
Outputs of similar age
#100,174
of 104,702 outputs
Outputs of similar age from IEEE Journal on Selected Areas in Communications
#13
of 13 outputs
Altmetric has tracked 25,377,790 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 2,919 research outputs from this source. They receive a mean Attention Score of 4.5. 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 104,702 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 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.