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End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

Overview of attention for article published in Nature Medicine, May 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
83 news outlets
blogs
9 blogs
policy
4 policy sources
twitter
1290 X users
patent
11 patents
facebook
7 Facebook pages
reddit
3 Redditors

Citations

dimensions_citation
1274 Dimensions

Readers on

mendeley
1312 Mendeley
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Title
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
Published in
Nature Medicine, May 2019
DOI 10.1038/s41591-019-0447-x
Pubmed ID
Authors

Diego Ardila, Atilla P. Kiraly, Sujeeth Bharadwaj, Bokyung Choi, Joshua J. Reicher, Lily Peng, Daniel Tse, Mozziyar Etemadi, Wenxing Ye, Greg Corrado, David P. Naidich, Shravya Shetty

X Demographics

X Demographics

The data shown below were collected from the profiles of 1,290 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 1,312 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1312 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 203 15%
Student > Ph. D. Student 191 15%
Student > Master 125 10%
Student > Bachelor 89 7%
Other 67 5%
Other 201 15%
Unknown 436 33%
Readers by discipline Count As %
Computer Science 226 17%
Medicine and Dentistry 210 16%
Engineering 124 9%
Biochemistry, Genetics and Molecular Biology 39 3%
Agricultural and Biological Sciences 38 3%
Other 169 13%
Unknown 506 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1584. 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 April 2024.
All research outputs
#7,228
of 25,784,004 outputs
Outputs from Nature Medicine
#105
of 9,433 outputs
Outputs of similar age
#114
of 365,938 outputs
Outputs of similar age from Nature Medicine
#4
of 101 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,433 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 105.9. This one has done particularly well, scoring higher than 98% 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 365,938 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.