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Deep Reinforcement Learning Based Resource Allocation Strategy in Cloud-Edge Computing System

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, August 2022
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Mentioned by

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1 X user

Citations

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5 Dimensions

Readers on

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6 Mendeley
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Title
Deep Reinforcement Learning Based Resource Allocation Strategy in Cloud-Edge Computing System
Published in
Frontiers in Bioengineering and Biotechnology, August 2022
DOI 10.3389/fbioe.2022.908056
Pubmed ID
Authors

Jianqiao Xu, Zhuohan Xu, Bing Shi

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Unspecified 1 17%
Lecturer 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 2 33%
Unspecified 1 17%
Agricultural and Biological Sciences 1 17%
Engineering 1 17%
Unknown 1 17%
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 August 2022.
All research outputs
#20,474,050
of 23,033,713 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#4,649
of 6,726 outputs
Outputs of similar age
#342,838
of 432,553 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#432
of 713 outputs
Altmetric has tracked 23,033,713 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,726 research outputs from this source. They receive a mean Attention Score of 3.4. 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 432,553 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 713 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.