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Unsupervised Deep Learning for MU-SIMO Joint Transmitter and Noncoherent Receiver Design

Overview of attention for article published in IEEE Wireless Communications Letters, August 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

patent
4 patents

Readers on

mendeley
32 Mendeley
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Article details
Title
Unsupervised Deep Learning for MU-SIMO Joint Transmitter and Noncoherent Receiver Design
Published in
IEEE Wireless Communications Letters, August 2018
DOI 10.1109/lwc.2018.2865563
Authors

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 31%
Student > Master 5 16%
Researcher 2 6%
Other 1 3%
Student > Doctoral Student 1 3%
Other 3 9%
Unknown 10 31%
Readers by discipline
Readers by discipline Count As %
Engineering 15 47%
Computer Science 2 6%
Arts and Humanities 1 3%
Chemical Engineering 1 3%
Earth and Planetary Sciences 1 3%
Other 0 0%
Unknown 12 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 11 November 2025.
All research outputs
#7,228,929
of 33,493,714 outputs
Outputs from IEEE Wireless Communications Letters
#79
of 980 outputs
Outputs of similar age
#100,384
of 366,344 outputs
Outputs of similar age from IEEE Wireless Communications Letters
#2
of 21 outputs
Altmetric has tracked 33,493,714 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 980 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 80% 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 366,344 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 70% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.