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Improving the Prediction of Benign or Malignant Breast Masses Using a Combination of Image Biomarkers and Clinical Parameters

Overview of attention for article published in Frontiers in oncology, March 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Citations

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14 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Improving the Prediction of Benign or Malignant Breast Masses Using a Combination of Image Biomarkers and Clinical Parameters
Published in
Frontiers in oncology, March 2021
DOI 10.3389/fonc.2021.629321
Pubmed ID
Authors

Yanhua Cui, Yun Li, Dong Xing, Tong Bai, Jiwen Dong, Jian Zhu

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

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 17%
Student > Bachelor 4 10%
Student > Master 4 10%
Other 2 5%
Student > Ph. D. Student 1 2%
Other 2 5%
Unknown 22 52%
Readers by discipline Count As %
Computer Science 5 12%
Engineering 4 10%
Medicine and Dentistry 3 7%
Biochemistry, Genetics and Molecular Biology 2 5%
Nursing and Health Professions 1 2%
Other 4 10%
Unknown 23 55%
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 28 April 2021.
All research outputs
#20,580,732
of 26,163,973 outputs
Outputs from Frontiers in oncology
#9,606
of 22,913 outputs
Outputs of similar age
#333,431
of 458,040 outputs
Outputs of similar age from Frontiers in oncology
#569
of 1,051 outputs
Altmetric has tracked 26,163,973 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,913 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 49th percentile – i.e., 49% 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 458,040 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,051 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.