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Unsupervised Detection of Apnea Using Commodity RFID Tags With a Recurrent Variational Autoencoder

Overview of attention for article published in IEEE Access, May 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
37 Mendeley
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Article details
Title
Unsupervised Detection of Apnea Using Commodity RFID Tags With a Recurrent Variational Autoencoder
Published in
IEEE Access, May 2019
DOI 10.1109/access.2019.2918292
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 37 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 37 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 11%
Student > Master 4 11%
Student > Doctoral Student 3 8%
Researcher 3 8%
Professor 2 5%
Other 2 5%
Unknown 19 51%
Readers by discipline
Readers by discipline Count As %
Engineering 9 24%
Computer Science 8 22%
Economics, Econometrics and Finance 1 3%
Unknown 19 51%
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 06 October 2022.
All research outputs
#5,450,007
of 25,385,509 outputs
Outputs from IEEE Access
#1,222
of 9,882 outputs
Outputs of similar age
#102,642
of 364,073 outputs
Outputs of similar age from IEEE Access
#65
of 548 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,882 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 81% 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 364,073 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 71% of its contemporaries.
We're also able to compare this research output to 548 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.