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Machine Learning for the Prediction of Lymph Nodes Micrometastasis in Patients with Non-Small Cell Lung Cancer: A Comparative Analysis of Two Practical Prediction Models for Gross Target Volume…

Overview of attention for article published in Cancer Management and Research, June 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
reddit
1 Redditor

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
9 Mendeley
Title
Machine Learning for the Prediction of Lymph Nodes Micrometastasis in Patients with Non-Small Cell Lung Cancer: A Comparative Analysis of Two Practical Prediction Models for Gross Target Volume Delineation
Published in
Cancer Management and Research, June 2021
DOI 10.2147/cmar.s313941
Pubmed ID
Authors

Shuli Hu, Man Luo, Yaling Li

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 11%
Researcher 1 11%
Lecturer 1 11%
Student > Doctoral Student 1 11%
Unknown 5 56%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 11%
Nursing and Health Professions 1 11%
Agricultural and Biological Sciences 1 11%
Computer Science 1 11%
Medicine and Dentistry 1 11%
Other 0 0%
Unknown 4 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 25 June 2021.
All research outputs
#3,770,445
of 23,308,124 outputs
Outputs from Cancer Management and Research
#128
of 2,022 outputs
Outputs of similar age
#89,423
of 448,084 outputs
Outputs of similar age from Cancer Management and Research
#7
of 131 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,022 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 93% 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 448,084 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 131 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 94% of its contemporaries.