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Multi-objective workflow optimization strategy (MOWOS) for cloud computing

Overview of attention for article published in Journal of Cloud Computing, January 2021
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Mentioned by

twitter
1 X user

Citations

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27 Dimensions

Readers on

mendeley
41 Mendeley
Title
Multi-objective workflow optimization strategy (MOWOS) for cloud computing
Published in
Journal of Cloud Computing, January 2021
DOI 10.1186/s13677-020-00219-1
Authors

J. Kok Konjaang, Lina Xu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 27%
Lecturer 3 7%
Student > Master 3 7%
Professor > Associate Professor 2 5%
Professor 1 2%
Other 2 5%
Unknown 19 46%
Readers by discipline Count As %
Computer Science 17 41%
Engineering 1 2%
Unknown 23 56%
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 29 January 2021.
All research outputs
#18,783,531
of 23,275,636 outputs
Outputs from Journal of Cloud Computing
#152
of 256 outputs
Outputs of similar age
#378,507
of 505,652 outputs
Outputs of similar age from Journal of Cloud Computing
#8
of 25 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 1st percentile – i.e., 1% 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 505,652 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.