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Load balancing in cloud computing – A hierarchical taxonomical classification

Overview of attention for article published in Journal of Cloud Computing, December 2019
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Mentioned by

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1 X user

Citations

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123 Dimensions

Readers on

mendeley
238 Mendeley
Title
Load balancing in cloud computing – A hierarchical taxonomical classification
Published in
Journal of Cloud Computing, December 2019
DOI 10.1186/s13677-019-0146-7
Authors

Shahbaz Afzal, G. Kavitha

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

Geographical breakdown

Country Count As %
Unknown 238 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 13%
Student > Ph. D. Student 21 9%
Student > Bachelor 18 8%
Researcher 12 5%
Unspecified 10 4%
Other 30 13%
Unknown 117 49%
Readers by discipline Count As %
Computer Science 88 37%
Engineering 15 6%
Unspecified 10 4%
Business, Management and Accounting 3 1%
Medicine and Dentistry 1 <1%
Other 0 0%
Unknown 121 51%
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 24 December 2019.
All research outputs
#18,705,952
of 23,184,056 outputs
Outputs from Journal of Cloud Computing
#152
of 256 outputs
Outputs of similar age
#335,425
of 457,757 outputs
Outputs of similar age from Journal of Cloud Computing
#5
of 15 outputs
Altmetric has tracked 23,184,056 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 457,757 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 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.