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Deep convolutional neural network based medical image classification for disease diagnosis

Overview of attention for article published in Journal of Big Data, December 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
610 Dimensions

Readers on

mendeley
810 Mendeley
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Title
Deep convolutional neural network based medical image classification for disease diagnosis
Published in
Journal of Big Data, December 2019
DOI 10.1186/s40537-019-0276-2
Authors

Samir S. Yadav, Shivajirao M. Jadhav

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

Geographical breakdown

Country Count As %
Unknown 810 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 90 11%
Student > Bachelor 75 9%
Student > Ph. D. Student 72 9%
Lecturer 35 4%
Researcher 31 4%
Other 81 10%
Unknown 426 53%
Readers by discipline Count As %
Computer Science 178 22%
Engineering 90 11%
Medicine and Dentistry 17 2%
Unspecified 13 2%
Business, Management and Accounting 11 1%
Other 50 6%
Unknown 451 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 13 November 2020.
All research outputs
#3,005,262
of 23,198,445 outputs
Outputs from Journal of Big Data
#59
of 347 outputs
Outputs of similar age
#68,665
of 430,806 outputs
Outputs of similar age from Journal of Big Data
#4
of 17 outputs
Altmetric has tracked 23,198,445 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 347 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done well, scoring higher than 82% 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 430,806 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.