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Energy-Efficient Algorithms for Dynamic Virtual Machine Consolidation in Cloud Data Centers

Overview of attention for article published in IEEE Access, June 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
71 Mendeley
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Title
Energy-Efficient Algorithms for Dynamic Virtual Machine Consolidation in Cloud Data Centers
Published in
IEEE Access, June 2017
DOI 10.1109/access.2017.2711043
Authors

Mohammad Ali Khoshkholghi, Mohd Noor Derahman, Azizol Abdullah, Shamala Subramaniam, Mohamed Othman

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 25%
Student > Ph. D. Student 13 18%
Researcher 4 6%
Other 3 4%
Professor 3 4%
Other 5 7%
Unknown 25 35%
Readers by discipline Count As %
Computer Science 29 41%
Engineering 7 10%
Medicine and Dentistry 3 4%
Physics and Astronomy 1 1%
Environmental Science 1 1%
Other 2 3%
Unknown 28 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 February 2023.
All research outputs
#8,537,346
of 25,382,440 outputs
Outputs from IEEE Access
#2,654
of 9,866 outputs
Outputs of similar age
#127,527
of 330,503 outputs
Outputs of similar age from IEEE Access
#35
of 98 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,866 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 41st percentile – i.e., 41% 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 330,503 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.