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Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks

Overview of attention for article published in IEEE Transactions on Wireless Communications, January 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
23 X users

Readers on

mendeley
92 Mendeley
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Article details
Title
Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks
Published in
IEEE Transactions on Wireless Communications, January 2019
DOI 10.1109/twc.2019.2891629
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 24 26%
Student > Master 13 14%
Other 4 4%
Lecturer 4 4%
Researcher 4 4%
Other 8 9%
Unknown 35 38%
Readers by discipline
Readers by discipline Count As %
Engineering 33 36%
Computer Science 19 21%
Mathematics 2 2%
Arts and Humanities 1 1%
Business, Management and Accounting 1 1%
Other 1 1%
Unknown 35 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 15 March 2019.
All research outputs
#3,484,253
of 28,095,611 outputs
Outputs from IEEE Transactions on Wireless Communications
#62
of 2,411 outputs
Outputs of similar age
#69,371
of 453,114 outputs
Outputs of similar age from IEEE Transactions on Wireless Communications
#1
of 23 outputs
Altmetric has tracked 28,095,611 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,411 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 97% 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 453,114 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
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 has done particularly well, scoring higher than 95% of its contemporaries.