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Burstiness-aware service level planning for enterprise application clouds

Overview of attention for article published in Journal of Cloud Computing, August 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
15 Mendeley
Title
Burstiness-aware service level planning for enterprise application clouds
Published in
Journal of Cloud Computing, August 2017
DOI 10.1186/s13677-017-0087-y
Authors

Anas A. Youssef, Diwakar Krishnamurthy

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Student > Master 4 27%
Other 2 13%
Lecturer 1 7%
Unknown 4 27%
Readers by discipline Count As %
Computer Science 9 60%
Social Sciences 1 7%
Medicine and Dentistry 1 7%
Unknown 4 27%
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 March 2023.
All research outputs
#13,846,713
of 23,467,261 outputs
Outputs from Journal of Cloud Computing
#56
of 257 outputs
Outputs of similar age
#161,697
of 317,446 outputs
Outputs of similar age from Journal of Cloud Computing
#4
of 6 outputs
Altmetric has tracked 23,467,261 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 257 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 76% 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 317,446 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.