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Dove Medical Press

Development and Validation of an MRI Radiomics-Based Signature to Predict Histological Grade in Patients with Invasive Breast Cancer

Overview of attention for article published in Breast cancer targets and therapy, October 2022
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

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9 Mendeley
Title
Development and Validation of an MRI Radiomics-Based Signature to Predict Histological Grade in Patients with Invasive Breast Cancer
Published in
Breast cancer targets and therapy, October 2022
DOI 10.2147/bctt.s380651
Pubmed ID
Authors

Shihui Wang, Yi Wei, Zhouli Li, Jingya Xu, Yunfeng Zhou

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 > Ph. D. Student 2 22%
Researcher 1 11%
Lecturer 1 11%
Other 1 11%
Unknown 4 44%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 11%
Nursing and Health Professions 1 11%
Computer Science 1 11%
Medicine and Dentistry 1 11%
Unknown 5 56%
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 20 October 2022.
All research outputs
#23,065,269
of 25,707,225 outputs
Outputs from Breast cancer targets and therapy
#289
of 327 outputs
Outputs of similar age
#375,262
of 440,833 outputs
Outputs of similar age from Breast cancer targets and therapy
#6
of 8 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 327 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 1st percentile – i.e., 1% 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 440,833 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.