↓ Skip to main content

Decentralized computation offloading for multi-user mobile edge computing: a deep reinforcement learning approach

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, September 2020
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
114 Dimensions

Readers on

mendeley
133 Mendeley
Title
Decentralized computation offloading for multi-user mobile edge computing: a deep reinforcement learning approach
Published in
EURASIP Journal on Wireless Communications and Networking, September 2020
DOI 10.1186/s13638-020-01801-6
Authors

Zhao Chen, Xiaodong Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 133 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 17%
Student > Master 20 15%
Lecturer 6 5%
Student > Bachelor 6 5%
Researcher 5 4%
Other 13 10%
Unknown 60 45%
Readers by discipline Count As %
Computer Science 38 29%
Engineering 21 16%
Mathematics 4 3%
Social Sciences 2 2%
Economics, Econometrics and Finance 1 <1%
Other 3 2%
Unknown 64 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 28 September 2023.
All research outputs
#7,783,733
of 25,385,509 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#88
of 549 outputs
Outputs of similar age
#162,067
of 432,809 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#1
of 6 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 549 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done well, scoring higher than 83% of its peers.
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 432,809 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them