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A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns

Overview of attention for article published in Nature Communications, February 2020
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
150 X users
patent
3 patents

Readers on

mendeley
503 Mendeley
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Article details
Title
A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
Published in
Nature Communications, February 2020
DOI 10.1038/s41467-019-13825-8
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 150 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 503 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 503 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 90 18%
Student > Ph. D. Student 82 16%
Student > Master 49 10%
Student > Bachelor 42 8%
Professor 20 4%
Other 73 15%
Unknown 147 29%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 121 24%
Agricultural and Biological Sciences 60 12%
Computer Science 52 10%
Medicine and Dentistry 48 10%
Engineering 15 3%
Other 51 10%
Unknown 156 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 118. 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 10 June 2026.
All research outputs
#451,537
of 34,562,876 outputs
Outputs from Nature Communications
#6,856
of 83,347 outputs
Outputs of similar age
#9,302
of 515,646 outputs
Outputs of similar age from Nature Communications
#122
of 1,440 outputs
Altmetric has tracked 34,562,876 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 83,347 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 49.4. This one has done particularly well, scoring higher than 91% 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 515,646 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 98% of its contemporaries.
We're also able to compare this research output to 1,440 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 91% of its contemporaries.