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Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks

Overview of attention for article published in IEEE Transactions on Communications, November 2023
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  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
25 Mendeley
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Article details
Title
Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks
Published in
IEEE Transactions on Communications, November 2023
DOI 10.1109/tcomm.2023.3337376
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 5 20%
Student > Ph. D. Student 4 16%
Lecturer 2 8%
Student > Bachelor 1 4%
Professor > Associate Professor 1 4%
Other 0 0%
Unknown 12 48%
Readers by discipline
Readers by discipline Count As %
Computer Science 9 36%
Engineering 4 16%
Unknown 12 48%
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 30 April 2024.
All research outputs
#17,611,646
of 25,816,430 outputs
Outputs from IEEE Transactions on Communications
#4,287
of 4,705 outputs
Outputs of similar age
#199,014
of 368,752 outputs
Outputs of similar age from IEEE Transactions on Communications
#2
of 10 outputs
Altmetric has tracked 25,816,430 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,705 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 7th percentile – i.e., 7% 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 368,752 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.