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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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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
9 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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 11%
Ghana 1 11%
Unknown 7 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 44%
Student > Master 2 22%
Student > Postgraduate 1 11%
Researcher 1 11%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 6 67%
Unknown 3 33%

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
#7,964,111
of 12,695,728 outputs
Outputs from Journal of Cloud Computing
#62
of 107 outputs
Outputs of similar age
#164,204
of 274,427 outputs
Outputs of similar age from Journal of Cloud Computing
#1
of 1 outputs
Altmetric has tracked 12,695,728 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 107 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 2nd percentile – i.e., 2% 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 274,427 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them