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A convolutional neural network for face mask detection in IoT-based smart healthcare systems

Overview of attention for article published in Frontiers in Physiology, March 2023
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1 X user

Citations

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2 Dimensions

Readers on

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10 Mendeley
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Title
A convolutional neural network for face mask detection in IoT-based smart healthcare systems
Published in
Frontiers in Physiology, March 2023
DOI 10.3389/fphys.2023.1143249
Pubmed ID
Authors

Bose S, Logeswari G, Thavavel Vaiyapuri, Tariq Ahamed Ahanger, Fadl Dahan, Fahima Hajjej, Ismail Keshta, Majed Alsafyani, Roobaea Alroobaea, Kaamran Raahemifar

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 20%
Researcher 2 20%
Student > Ph. D. Student 1 10%
Other 1 10%
Lecturer 1 10%
Other 1 10%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 4 40%
Nursing and Health Professions 1 10%
Arts and Humanities 1 10%
Energy 1 10%
Social Sciences 1 10%
Other 0 0%
Unknown 2 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 March 2023.
All research outputs
#20,884,233
of 23,505,064 outputs
Outputs from Frontiers in Physiology
#9,738
of 14,219 outputs
Outputs of similar age
#187,623
of 240,322 outputs
Outputs of similar age from Frontiers in Physiology
#157
of 357 outputs
Altmetric has tracked 23,505,064 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,219 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 240,322 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 357 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.