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Fine-grained preemption analysis for latency investigation across virtual machines

Overview of attention for article published in Journal of Cloud Computing, December 2014
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Mentioned by

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1 X user

Citations

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18 Dimensions

Readers on

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11 Mendeley
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Title
Fine-grained preemption analysis for latency investigation across virtual machines
Published in
Journal of Cloud Computing, December 2014
DOI 10.1186/s13677-014-0023-3
Authors

Mohamad Gebai, Francis Giraldeau, Michel R Dagenais

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

Geographical breakdown

Country Count As %
Germany 1 9%
Ghana 1 9%
Unknown 9 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 45%
Student > Master 2 18%
Student > Postgraduate 1 9%
Researcher 1 9%
Unknown 2 18%
Readers by discipline Count As %
Computer Science 6 55%
Medicine and Dentistry 1 9%
Unknown 4 36%
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 March 2018.
All research outputs
#15,495,840
of 23,028,364 outputs
Outputs from Journal of Cloud Computing
#89
of 256 outputs
Outputs of similar age
#209,921
of 353,492 outputs
Outputs of similar age from Journal of Cloud Computing
#4
of 4 outputs
Altmetric has tracked 23,028,364 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 256 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 44th percentile – i.e., 44% 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 353,492 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.