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Migration-Aware Genetic Optimization for MapReduce Scheduling and Replica Placement in Hadoop

Overview of attention for article published in Journal of Grid Computing, February 2018
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

Citations

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31 Dimensions

Readers on

mendeley
16 Mendeley
Title
Migration-Aware Genetic Optimization for MapReduce Scheduling and Replica Placement in Hadoop
Published in
Journal of Grid Computing, February 2018
DOI 10.1007/s10723-018-9432-8
Authors

Carlos Guerrero, Isaac Lera, Carlos Juiz

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

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 31%
Professor > Associate Professor 4 25%
Professor 1 6%
Other 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 3 19%
Readers by discipline Count As %
Computer Science 9 56%
Biochemistry, Genetics and Molecular Biology 1 6%
Chemical Engineering 1 6%
Business, Management and Accounting 1 6%
Social Sciences 1 6%
Other 0 0%
Unknown 3 19%
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 16 February 2018.
All research outputs
#13,889,808
of 23,023,224 outputs
Outputs from Journal of Grid Computing
#84
of 118 outputs
Outputs of similar age
#231,455
of 446,257 outputs
Outputs of similar age from Journal of Grid Computing
#3
of 4 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 118 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 27th percentile – i.e., 27% 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 446,257 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% 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.