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CSI Phase Fingerprinting for Indoor Localization With a Deep Learning Approach

Overview of attention for article published in IEEE Internet of Things Journal, January 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

patent
12 patents

Readers on

mendeley
266 Mendeley
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Article details
Title
CSI Phase Fingerprinting for Indoor Localization With a Deep Learning Approach
Published in
IEEE Internet of Things Journal, January 2017
DOI 10.1109/jiot.2016.2558659
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 266 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 %
Japan 1 <1%
Brazil 1 <1%
Unknown 264 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 62 23%
Student > Master 37 14%
Researcher 27 10%
Student > Bachelor 24 9%
Student > Doctoral Student 9 3%
Other 31 12%
Unknown 76 29%
Readers by discipline
Readers by discipline Count As %
Computer Science 83 31%
Engineering 83 31%
Physics and Astronomy 6 2%
Business, Management and Accounting 3 1%
Agricultural and Biological Sciences 3 1%
Other 13 5%
Unknown 75 28%
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 13 June 2023.
All research outputs
#6,542,369
of 30,143,106 outputs
Outputs from IEEE Internet of Things Journal
#218
of 1,769 outputs
Outputs of similar age
#100,351
of 430,822 outputs
Outputs of similar age from IEEE Internet of Things Journal
#4
of 34 outputs
Altmetric has tracked 30,143,106 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,769 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 79% 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 430,822 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 75% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.