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Comprehensive review on ML-based RIS-enhanced IoT systems: basics, research progress and future challenges

Overview of attention for article published in Computer Networks, April 2023
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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 (74th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
10 X users

Readers on

mendeley
68 Mendeley
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Title
Comprehensive review on ML-based RIS-enhanced IoT systems: basics, research progress and future challenges
Published in
Computer Networks, April 2023
DOI 10.1016/j.comnet.2023.109581
Authors

Sree Krishna Das, Fatma Benkhelifa, Yao Sun, Hanaa Abumarshoud, Qammer H. Abbasi, Muhammad Ali Imran, Lina Mohjazi

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 16%
Unspecified 6 9%
Student > Master 5 7%
Professor 4 6%
Other 3 4%
Other 9 13%
Unknown 30 44%
Readers by discipline Count As %
Engineering 12 18%
Computer Science 11 16%
Unspecified 6 9%
Business, Management and Accounting 2 3%
Social Sciences 2 3%
Other 5 7%
Unknown 30 44%
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 07 April 2023.
All research outputs
#6,384,208
of 25,654,566 outputs
Outputs from Computer Networks
#353
of 1,268 outputs
Outputs of similar age
#109,729
of 423,695 outputs
Outputs of similar age from Computer Networks
#2
of 10 outputs
Altmetric has tracked 25,654,566 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 1,268 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 72% 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 423,695 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 74% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.