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Prediction of the histologic upgrade of ductal carcinoma in situ using a combined radiomics and machine learning approach based on breast dynamic contrast-enhanced magnetic resonance imaging

Overview of attention for article published in Frontiers in oncology, November 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Prediction of the histologic upgrade of ductal carcinoma in situ using a combined radiomics and machine learning approach based on breast dynamic contrast-enhanced magnetic resonance imaging
Published in
Frontiers in oncology, November 2022
DOI 10.3389/fonc.2022.1032809
Pubmed ID
Authors

Hyo-jae Lee, Jae Hyeok Park, Anh-Tien Nguyen, Luu-Ngoc Do, Min Ho Park, Ji Shin Lee, Ilwoo Park, Hyo Soon Lim

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Professor 1 7%
Lecturer 1 7%
Unknown 10 67%
Readers by discipline Count As %
Physics and Astronomy 2 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Computer Science 1 7%
Engineering 1 7%
Unknown 10 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 November 2022.
All research outputs
#15,698,002
of 26,179,695 outputs
Outputs from Frontiers in oncology
#4,735
of 22,919 outputs
Outputs of similar age
#197,896
of 445,703 outputs
Outputs of similar age from Frontiers in oncology
#350
of 1,715 outputs
Altmetric has tracked 26,179,695 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,919 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 77% 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 445,703 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 53% of its contemporaries.
We're also able to compare this research output to 1,715 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.