↓ Skip to main content

Performance Evaluation of the Deep Learning Based Convolutional Neural Network Approach for the Recognition of Chest X-Ray Images

Overview of attention for article published in Frontiers in oncology, June 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
31 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Performance Evaluation of the Deep Learning Based Convolutional Neural Network Approach for the Recognition of Chest X-Ray Images
Published in
Frontiers in oncology, June 2022
DOI 10.3389/fonc.2022.932496
Pubmed ID
Authors

Sandhya Sharma, Sheifali Gupta, Deepali Gupta, Junaid Rashid, Sapna Juneja, Jungeun Kim, Mahmoud M. Elarabawy

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

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

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 10%
Lecturer 2 6%
Student > Bachelor 2 6%
Student > Master 2 6%
Student > Ph. D. Student 2 6%
Other 4 13%
Unknown 16 52%
Readers by discipline Count As %
Computer Science 7 23%
Engineering 3 10%
Medicine and Dentistry 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Unknown 18 58%
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 18 July 2022.
All research outputs
#17,287,336
of 26,169,168 outputs
Outputs from Frontiers in oncology
#6,850
of 22,913 outputs
Outputs of similar age
#248,130
of 445,859 outputs
Outputs of similar age from Frontiers in oncology
#472
of 1,763 outputs
Altmetric has tracked 26,169,168 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,913 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 64% 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 445,859 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,763 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.