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RETRACTED ARTICLE: A MobileNet-based CNN model with a novel fine-tuning mechanism for COVID-19 infection detection

Overview of attention for article published in Soft Computing, January 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
52 Mendeley
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Title
RETRACTED ARTICLE: A MobileNet-based CNN model with a novel fine-tuning mechanism for COVID-19 infection detection
Published in
Soft Computing, January 2023
DOI 10.1007/s00500-022-07798-y
Pubmed ID
Authors

Yasin Kaya, Ercan Gürsoy

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 10%
Researcher 5 10%
Student > Master 4 8%
Student > Ph. D. Student 4 8%
Unspecified 2 4%
Other 3 6%
Unknown 29 56%
Readers by discipline Count As %
Computer Science 9 17%
Engineering 6 12%
Unspecified 2 4%
Medicine and Dentistry 1 2%
Mathematics 1 2%
Other 0 0%
Unknown 33 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 January 2023.
All research outputs
#13,447,974
of 24,040,389 outputs
Outputs from Soft Computing
#192
of 478 outputs
Outputs of similar age
#155,590
of 440,380 outputs
Outputs of similar age from Soft Computing
#3
of 12 outputs
Altmetric has tracked 24,040,389 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 478 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 59% 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 440,380 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.