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Deep learning can predict lymph node status directly from histology in colorectal cancer

Overview of attention for article published in European Journal of Cancer (1965), October 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
8 X users

Readers on

mendeley
61 Mendeley
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Article details
Title
Deep learning can predict lymph node status directly from histology in colorectal cancer
Published in
European Journal of Cancer (1965), October 2021
DOI 10.1016/j.ejca.2021.08.039
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 8 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 61 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 61 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 6 10%
Student > Master 5 8%
Student > Doctoral Student 4 7%
Lecturer 3 5%
Other 2 3%
Other 5 8%
Unknown 36 59%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 10%
Computer Science 6 10%
Medicine and Dentistry 4 7%
Engineering 3 5%
Nursing and Health Professions 2 3%
Other 5 8%
Unknown 35 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 November 2021.
All research outputs
#9,424,202
of 34,412,533 outputs
Outputs from European Journal of Cancer (1965)
#3,722
of 8,776 outputs
Outputs of similar age
#129,702
of 468,172 outputs
Outputs of similar age from European Journal of Cancer (1965)
#57
of 137 outputs
Altmetric has tracked 34,412,533 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,776 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has gotten more attention than average, scoring higher than 57% 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 468,172 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 137 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 58% of its contemporaries.