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Application of Convolutional Neural Networks for COVID-19 Detection in X-ray Images Using InceptionV3 and U-Net

Overview of attention for article published in New Generation Computing, May 2023
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Mentioned by

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2 X users

Citations

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5 Dimensions

Readers on

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12 Mendeley
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Title
Application of Convolutional Neural Networks for COVID-19 Detection in X-ray Images Using InceptionV3 and U-Net
Published in
New Generation Computing, May 2023
DOI 10.1007/s00354-023-00217-2
Pubmed ID
Authors

Aman Gupta, Shashank Mishra, Sourav Chandan Sahu, Ulligaddala Srinivasarao, K. Jairam Naik

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 8%
Professor 1 8%
Lecturer 1 8%
Unknown 9 75%
Readers by discipline Count As %
Unspecified 1 8%
Computer Science 1 8%
Medicine and Dentistry 1 8%
Unknown 9 75%
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 25 May 2023.
All research outputs
#20,211,922
of 24,849,927 outputs
Outputs from New Generation Computing
#86
of 160 outputs
Outputs of similar age
#285,493
of 384,970 outputs
Outputs of similar age from New Generation Computing
#1
of 1 outputs
Altmetric has tracked 24,849,927 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 160 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 39th percentile – i.e., 39% 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 384,970 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them