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Deep Learning Applied to Chest Radiograph Classification—A COVID-19 Pneumonia Experience

Overview of attention for article published in Applied Sciences, April 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Readers on

mendeley
32 Mendeley
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Article details
Title
Deep Learning Applied to Chest Radiograph Classification—A COVID-19 Pneumonia Experience
Published in
Applied Sciences, April 2022
DOI 10.3390/app12083712
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 32 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 %
Unknown 32 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 2 6%
Student > Postgraduate 2 6%
Librarian 1 3%
Lecturer 1 3%
Student > Bachelor 1 3%
Other 2 6%
Unknown 23 72%
Readers by discipline
Readers by discipline Count As %
Computer Science 5 16%
Engineering 2 6%
Nursing and Health Professions 1 3%
Medicine and Dentistry 1 3%
Unknown 23 72%
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 24 May 2022.
All research outputs
#15,687,628
of 23,312,088 outputs
Outputs from Applied Sciences
#3,699
of 10,132 outputs
Outputs of similar age
#251,610
of 443,092 outputs
Outputs of similar age from Applied Sciences
#196
of 598 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,132 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 42nd percentile – i.e., 42% 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 443,092 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 598 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.