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Dual-Branch Convolutional Neural Network Based on Ultrasound Imaging in the Early Prediction of Neoadjuvant Chemotherapy Response in Patients With Locally Advanced Breast Cancer

Overview of attention for article published in Frontiers in oncology, April 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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9 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Dual-Branch Convolutional Neural Network Based on Ultrasound Imaging in the Early Prediction of Neoadjuvant Chemotherapy Response in Patients With Locally Advanced Breast Cancer
Published in
Frontiers in oncology, April 2022
DOI 10.3389/fonc.2022.812463
Pubmed ID
Authors

Jiang Xie, Huachan Shi, Chengrun Du, Xiangshuai Song, Jinzhu Wei, Qi Dong, Caifeng Wan

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 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 > Ph. D. Student 3 14%
Student > Master 2 9%
Student > Doctoral Student 1 5%
Lecturer > Senior Lecturer 1 5%
Researcher 1 5%
Other 1 5%
Unknown 13 59%
Readers by discipline Count As %
Computer Science 4 18%
Mathematics 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Physics and Astronomy 1 5%
Engineering 1 5%
Other 0 0%
Unknown 14 64%
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 25 April 2022.
All research outputs
#21,623,855
of 26,545,486 outputs
Outputs from Frontiers in oncology
#11,970
of 23,243 outputs
Outputs of similar age
#342,638
of 455,668 outputs
Outputs of similar age from Frontiers in oncology
#739
of 1,537 outputs
Altmetric has tracked 26,545,486 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,243 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 27th percentile – i.e., 27% 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 455,668 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,537 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.