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Multi‐subtype classification model for non‐small cell lung cancer based on radiomics: SLS model

Overview of attention for article published in Medical Physics, May 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
3 X users
patent
1 patent

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
50 Mendeley
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Title
Multi‐subtype classification model for non‐small cell lung cancer based on radiomics: SLS model
Published in
Medical Physics, May 2019
DOI 10.1002/mp.13551
Pubmed ID
Authors

Jian Liu, Jingjing Cui, Fei Liu, Yixuan Yuan, Feng Guo, Guanglei Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 14%
Student > Ph. D. Student 7 14%
Researcher 6 12%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Other 6 12%
Unknown 18 36%
Readers by discipline Count As %
Medicine and Dentistry 9 18%
Engineering 5 10%
Biochemistry, Genetics and Molecular Biology 3 6%
Computer Science 3 6%
Business, Management and Accounting 2 4%
Other 5 10%
Unknown 23 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 12 October 2022.
All research outputs
#6,462,229
of 23,507,888 outputs
Outputs from Medical Physics
#1,593
of 7,833 outputs
Outputs of similar age
#117,760
of 352,121 outputs
Outputs of similar age from Medical Physics
#16
of 64 outputs
Altmetric has tracked 23,507,888 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 7,833 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 79% 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 352,121 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 66% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.