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Generic SDE and GA-based workload modeling for cloud systems

Overview of attention for article published in Journal of Cloud Computing, January 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
16 Mendeley
Title
Generic SDE and GA-based workload modeling for cloud systems
Published in
Journal of Cloud Computing, January 2021
DOI 10.1186/s13677-020-00223-5
Pubmed ID
Authors

Cédric St-Onge, Souhila Benmakrelouf, Nadjia Kara, Hanine Tout, Claes Edstrom, Rafi Rabipour

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

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Student > Master 2 13%
Lecturer > Senior Lecturer 1 6%
Professor 1 6%
Student > Doctoral Student 1 6%
Other 2 13%
Unknown 5 31%
Readers by discipline Count As %
Computer Science 7 44%
Engineering 2 13%
Agricultural and Biological Sciences 1 6%
Unknown 6 38%
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 05 March 2021.
All research outputs
#18,119,559
of 23,274,744 outputs
Outputs from Journal of Cloud Computing
#143
of 256 outputs
Outputs of similar age
#356,322
of 502,438 outputs
Outputs of similar age from Journal of Cloud Computing
#4
of 23 outputs
Altmetric has tracked 23,274,744 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% 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 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 502,438 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.