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Artificial intelligence for differentiating COVID-19 from other viral pneumonias on CT: comparative analysis of different models based on quantitative and radiomic approaches

Overview of attention for article published in European Radiology Experimental, January 2023
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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1 X user

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mendeley
18 Mendeley
Title
Artificial intelligence for differentiating COVID-19 from other viral pneumonias on CT: comparative analysis of different models based on quantitative and radiomic approaches
Published in
European Radiology Experimental, January 2023
DOI 10.1186/s41747-022-00317-6
Pubmed ID
Authors

Giulia Zorzi, Luca Berta, Francesco Rizzetto, Cristina De Mattia, Marco Maria Jacopo Felisi, Stefano Carrazza, Silvia Nerini Molteni, Chiara Vismara, Francesco Scaglione, Angelo Vanzulli, Alberto Torresin, Paola Enrica Colombo

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

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 22%
Other 3 17%
Student > Bachelor 2 11%
Student > Doctoral Student 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 7 39%
Readers by discipline Count As %
Medicine and Dentistry 7 39%
Economics, Econometrics and Finance 1 6%
Agricultural and Biological Sciences 1 6%
Unknown 9 50%
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 January 2023.
All research outputs
#16,382,771
of 24,132,754 outputs
Outputs from European Radiology Experimental
#137
of 232 outputs
Outputs of similar age
#245,073
of 437,327 outputs
Outputs of similar age from European Radiology Experimental
#2
of 9 outputs
Altmetric has tracked 24,132,754 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 232 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 30th percentile – i.e., 30% 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 437,327 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.