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Computed tomography–based COVID–19 triage through a deep neural network using mask–weighted global average pooling

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, March 2023
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Mentioned by

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1 X user

Citations

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2 Dimensions

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8 Mendeley
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Title
Computed tomography–based COVID–19 triage through a deep neural network using mask–weighted global average pooling
Published in
Frontiers in Cellular and Infection Microbiology, March 2023
DOI 10.3389/fcimb.2023.1116285
Pubmed ID
Authors

Hong-Tao Zhang, Ze-Yu Sun, Juan Zhou, Shen Gao, Jing-Hui Dong, Yuan Liu, Xu Bai, Jin-Lin Ma, Ming Li, Guang Li, Jian-Ming Cai, Fu-Geng Sheng

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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 50%
Lecturer 2 25%
Other 1 13%
Unknown 1 13%
Readers by discipline Count As %
Nursing and Health Professions 2 25%
Arts and Humanities 1 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 13%
Computer Science 1 13%
Sports and Recreations 1 13%
Other 1 13%
Unknown 1 13%
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 03 March 2023.
All research outputs
#22,823,736
of 25,443,857 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#7,652
of 8,110 outputs
Outputs of similar age
#362,909
of 423,962 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#410
of 418 outputs
Altmetric has tracked 25,443,857 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 8,110 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. 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 423,962 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 418 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.