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Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach

Overview of attention for article published in Frontiers in Genetics, September 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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19 Dimensions

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17 Mendeley
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Title
Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach
Published in
Frontiers in Genetics, September 2022
DOI 10.3389/fgene.2022.980338
Pubmed ID
Authors

Partho Ghose, Muhaddid Alavi, Mehnaz Tabassum, Ashraf Uddin, Milon Biswas, Kawsher Mahbub, Loveleen Gaur, Saurav Mallik, Zhongming Zhao

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 > Postgraduate 2 12%
Researcher 2 12%
Student > Bachelor 1 6%
Unspecified 1 6%
Lecturer 1 6%
Other 1 6%
Unknown 9 53%
Readers by discipline Count As %
Medicine and Dentistry 3 18%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unspecified 1 6%
Computer Science 1 6%
Nursing and Health Professions 1 6%
Other 0 0%
Unknown 10 59%
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 10 October 2022.
All research outputs
#20,066,854
of 24,664,952 outputs
Outputs from Frontiers in Genetics
#7,759
of 13,296 outputs
Outputs of similar age
#312,970
of 426,760 outputs
Outputs of similar age from Frontiers in Genetics
#525
of 1,177 outputs
Altmetric has tracked 24,664,952 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,296 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 29th percentile – i.e., 29% 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 426,760 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,177 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.