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Diagnostic value of radiomics and machine learning with dynamic contrast-enhanced magnetic resonance imaging for patients with atypical ductal hyperplasia in predicting malignant upgrade

Overview of attention for article published in Breast Cancer Research and Treatment, January 2021
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Mentioned by

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3 X users

Citations

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14 Dimensions

Readers on

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22 Mendeley
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Title
Diagnostic value of radiomics and machine learning with dynamic contrast-enhanced magnetic resonance imaging for patients with atypical ductal hyperplasia in predicting malignant upgrade
Published in
Breast Cancer Research and Treatment, January 2021
DOI 10.1007/s10549-020-06074-7
Pubmed ID
Authors

Roberto Lo Gullo, Kerri Vincenti, Carolina Rossi Saccarelli, Peter Gibbs, Michael J. Fox, Isaac Daimiel, Danny F. Martinez, Maxine S. Jochelson, Elizabeth A. Morris, Jeffrey S. Reiner, Katja Pinker

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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 4 18%
Professor > Associate Professor 3 14%
Student > Ph. D. Student 2 9%
Student > Doctoral Student 1 5%
Professor 1 5%
Other 1 5%
Unknown 10 45%
Readers by discipline Count As %
Medicine and Dentistry 8 36%
Engineering 2 9%
Physics and Astronomy 1 5%
Philosophy 1 5%
Unknown 10 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 February 2021.
All research outputs
#18,119,559
of 23,274,744 outputs
Outputs from Breast Cancer Research and Treatment
#3,622
of 4,705 outputs
Outputs of similar age
#357,180
of 503,627 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#57
of 82 outputs
Altmetric has tracked 23,274,744 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,705 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 503,627 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.