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A large multiclass dataset of CT scans for COVID-19 identification

Overview of attention for article published in Evolving Systems, June 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
10 Mendeley
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Title
A large multiclass dataset of CT scans for COVID-19 identification
Published in
Evolving Systems, June 2023
DOI 10.1007/s12530-023-09511-2
Authors

Eduardo Soares, Plamen Angelov, Sarah Biaso, Marcelo Cury, Daniel Abe

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 10%
Researcher 1 10%
Lecturer 1 10%
Student > Doctoral Student 1 10%
Unknown 6 60%
Readers by discipline Count As %
Computer Science 2 20%
Mathematics 1 10%
Unknown 7 70%
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 09 July 2023.
All research outputs
#16,159,740
of 24,579,850 outputs
Outputs from Evolving Systems
#19
of 40 outputs
Outputs of similar age
#186,855
of 351,325 outputs
Outputs of similar age from Evolving Systems
#2
of 4 outputs
Altmetric has tracked 24,579,850 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 40 research outputs from this source. They receive a mean Attention Score of 1.8. This one scored the same or higher as 21 of them.
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 351,325 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.