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Optimizing virtual machine placement for energy and SLA in clouds using utility functions

Overview of attention for article published in Journal of Cloud Computing, October 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

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69 Dimensions

Readers on

mendeley
63 Mendeley
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Title
Optimizing virtual machine placement for energy and SLA in clouds using utility functions
Published in
Journal of Cloud Computing, October 2016
DOI 10.1186/s13677-016-0067-7
Authors

Abdelkhalik Mosa, Norman W. Paton

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

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 33%
Student > Master 12 19%
Student > Doctoral Student 6 10%
Researcher 5 8%
Professor 2 3%
Other 5 8%
Unknown 12 19%
Readers by discipline Count As %
Computer Science 39 62%
Business, Management and Accounting 3 5%
Engineering 3 5%
Biochemistry, Genetics and Molecular Biology 2 3%
Agricultural and Biological Sciences 1 2%
Other 2 3%
Unknown 13 21%
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 02 September 2022.
All research outputs
#15,572,258
of 23,230,825 outputs
Outputs from Journal of Cloud Computing
#88
of 256 outputs
Outputs of similar age
#197,484
of 314,879 outputs
Outputs of similar age from Journal of Cloud Computing
#2
of 3 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% 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 has gotten more attention than average, scoring higher than 65% of its peers.
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 314,879 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.