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CCTCOVID: COVID-19 detection from chest X-ray images using Compact Convolutional Transformers

Overview of attention for article published in Frontiers in Public Health, February 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
17 Mendeley
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Title
CCTCOVID: COVID-19 detection from chest X-ray images using Compact Convolutional Transformers
Published in
Frontiers in Public Health, February 2023
DOI 10.3389/fpubh.2023.1025746
Pubmed ID
Authors

Abdolreza Marefat, Mahdieh Marefat, Javad Hassannataj Joloudari, Mohammad Ali Nematollahi, Reza Lashgari

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 12%
Lecturer 2 12%
Researcher 1 6%
Unknown 12 71%
Readers by discipline Count As %
Computer Science 3 18%
Engineering 1 6%
Unknown 13 76%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 March 2023.
All research outputs
#15,640,046
of 23,862,416 outputs
Outputs from Frontiers in Public Health
#4,581
of 11,704 outputs
Outputs of similar age
#217,925
of 405,765 outputs
Outputs of similar age from Frontiers in Public Health
#290
of 1,190 outputs
Altmetric has tracked 23,862,416 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,704 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 55% 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 405,765 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,190 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.