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Adaptive offloading in mobile-edge computing for ultra-dense cellular networks based on genetic algorithm

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

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1 X user

Citations

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52 Dimensions

Readers on

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29 Mendeley
Title
Adaptive offloading in mobile-edge computing for ultra-dense cellular networks based on genetic algorithm
Published in
Journal of Cloud Computing, February 2021
DOI 10.1186/s13677-021-00232-y
Authors

Zhuofan Liao, Jingsheng Peng, Bing Xiong, Jiawei Huang

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

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 28%
Student > Master 2 7%
Professor > Associate Professor 2 7%
Researcher 1 3%
Student > Bachelor 1 3%
Other 0 0%
Unknown 15 52%
Readers by discipline Count As %
Computer Science 10 34%
Engineering 3 10%
Energy 1 3%
Unknown 15 52%
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 18 February 2021.
All research outputs
#18,789,320
of 23,283,373 outputs
Outputs from Journal of Cloud Computing
#153
of 256 outputs
Outputs of similar age
#318,772
of 420,998 outputs
Outputs of similar age from Journal of Cloud Computing
#9
of 23 outputs
Altmetric has tracked 23,283,373 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 420,998 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% 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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.