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FUGE: A joint meta-heuristic approach to cloud job scheduling algorithm using fuzzy theory and a genetic method

Overview of attention for article published in Cluster Computing, January 2015
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Mentioned by

twitter
1 X user

Citations

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132 Dimensions

Readers on

mendeley
91 Mendeley
Title
FUGE: A joint meta-heuristic approach to cloud job scheduling algorithm using fuzzy theory and a genetic method
Published in
Cluster Computing, January 2015
DOI 10.1007/s10586-014-0420-x
Authors

Mohammad Shojafar, Saeed Javanmardi, Saeid Abolfazli, Nicola Cordeschi

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Australia 1 1%
United States 1 1%
Unknown 87 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 25%
Student > Master 11 12%
Student > Doctoral Student 7 8%
Professor > Associate Professor 6 7%
Researcher 4 4%
Other 12 13%
Unknown 28 31%
Readers by discipline Count As %
Computer Science 42 46%
Engineering 8 9%
Business, Management and Accounting 2 2%
Philosophy 2 2%
Environmental Science 1 1%
Other 4 4%
Unknown 32 35%
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 02 February 2015.
All research outputs
#15,318,515
of 22,783,848 outputs
Outputs from Cluster Computing
#174
of 272 outputs
Outputs of similar age
#224,978
of 379,803 outputs
Outputs of similar age from Cluster Computing
#2
of 4 outputs
Altmetric has tracked 22,783,848 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 272 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 19th percentile – i.e., 19% 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 379,803 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.