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Application of mammography-based radiomics signature for preoperative prediction of triple-negative breast cancer

Overview of attention for article published in BMC Medical Imaging, September 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
4 Mendeley
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Title
Application of mammography-based radiomics signature for preoperative prediction of triple-negative breast cancer
Published in
BMC Medical Imaging, September 2022
DOI 10.1186/s12880-022-00875-6
Pubmed ID
Authors

Shuai Ge, Yu Yixing, Dong Jia, Yang Ling

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

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 25%
Unknown 3 75%
Readers by discipline Count As %
Medicine and Dentistry 1 25%
Unknown 3 75%
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 15 September 2022.
All research outputs
#18,168,008
of 23,339,727 outputs
Outputs from BMC Medical Imaging
#341
of 614 outputs
Outputs of similar age
#283,985
of 435,856 outputs
Outputs of similar age from BMC Medical Imaging
#10
of 23 outputs
Altmetric has tracked 23,339,727 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 614 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 39th percentile – i.e., 39% 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 435,856 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.