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Combination of ultrafast dynamic contrast-enhanced MRI-based radiomics and artificial neural network in assessing BI-RADS 4 breast lesions: Potential to avoid unnecessary biopsies

Overview of attention for article published in Frontiers in oncology, February 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Combination of ultrafast dynamic contrast-enhanced MRI-based radiomics and artificial neural network in assessing BI-RADS 4 breast lesions: Potential to avoid unnecessary biopsies
Published in
Frontiers in oncology, February 2023
DOI 10.3389/fonc.2023.1074060
Pubmed ID
Authors

Yidong Lyu, Yan Chen, Lingsong Meng, Jinxia Guo, Xiangyu Zhan, Zhuo Chen, Wenjun Yan, Yuyan Zhang, Xin Zhao, Yanwu Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 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 %
Lecturer > Senior Lecturer 1 11%
Unknown 8 89%
Readers by discipline Count As %
Earth and Planetary Sciences 1 11%
Unknown 8 89%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 February 2023.
All research outputs
#14,988,739
of 26,171,302 outputs
Outputs from Frontiers in oncology
#3,896
of 22,919 outputs
Outputs of similar age
#190,066
of 484,931 outputs
Outputs of similar age from Frontiers in oncology
#180
of 1,399 outputs
Altmetric has tracked 26,171,302 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% 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 82% 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 484,931 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 60% of its contemporaries.
We're also able to compare this research output to 1,399 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.