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Applying machine learning techniques to predict the risk of lung metastases from rectal cancer: a real-world retrospective study

Overview of attention for article published in Frontiers in oncology, May 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
6 Mendeley
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Title
Applying machine learning techniques to predict the risk of lung metastases from rectal cancer: a real-world retrospective study
Published in
Frontiers in oncology, May 2023
DOI 10.3389/fonc.2023.1183072
Pubmed ID
Authors

Binxu Qiu, Zixiong Shen, Dongliang Yang, Quan Wang

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 33%
Researcher 1 17%
Unknown 3 50%
Readers by discipline Count As %
Unspecified 2 33%
Unknown 4 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 July 2023.
All research outputs
#8,847,289
of 26,411,953 outputs
Outputs from Frontiers in oncology
#3,497
of 23,127 outputs
Outputs of similar age
#142,929
of 400,393 outputs
Outputs of similar age from Frontiers in oncology
#121
of 1,131 outputs
Altmetric has tracked 26,411,953 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 23,127 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 84% 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 400,393 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 63% of its contemporaries.
We're also able to compare this research output to 1,131 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.