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Smart Visual Sensing for Overcrowding in COVID-19 Infected Cities Using Modified Deep Transfer Learning

Overview of attention for article published in IEEE Transactions on Industrial Informatics, May 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 874)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
15 news outlets
twitter
4 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
14 Mendeley
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Title
Smart Visual Sensing for Overcrowding in COVID-19 Infected Cities Using Modified Deep Transfer Learning
Published in
IEEE Transactions on Industrial Informatics, May 2022
DOI 10.1109/tii.2022.3174160
Authors

Khosro Rezaee, Hossein Ghayoumi Zadeh, Chinmay Chakraborty, Mohammad R. Khosravi, Gwanggil Jeon

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 36%
Student > Ph. D. Student 2 14%
Unspecified 1 7%
Librarian 1 7%
Lecturer 1 7%
Other 2 14%
Unknown 2 14%
Readers by discipline Count As %
Computer Science 5 36%
Engineering 2 14%
Environmental Science 1 7%
Arts and Humanities 1 7%
Social Sciences 1 7%
Other 1 7%
Unknown 3 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 108. 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 08 February 2023.
All research outputs
#387,773
of 25,392,582 outputs
Outputs from IEEE Transactions on Industrial Informatics
#3
of 874 outputs
Outputs of similar age
#10,591
of 445,205 outputs
Outputs of similar age from IEEE Transactions on Industrial Informatics
#1
of 22 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 874 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 99% 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 445,205 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 22 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.