↓ Skip to main content

Multimodal data integration for predicting progression risk in castration-resistant prostate cancer using deep learning: a multicenter retrospective study

Overview of attention for article published in Frontiers in oncology, March 2024
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
5 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Multimodal data integration for predicting progression risk in castration-resistant prostate cancer using deep learning: a multicenter retrospective study
Published in
Frontiers in oncology, March 2024
DOI 10.3389/fonc.2024.1287995
Pubmed ID
Authors

Chuan Zhou, Yun-Feng Zhang, Sheng Guo, Yu-Qian Huang, Xiao-Ni Qiao, Rong Wang, Lian-Ping Zhao, De-Hui Chang, Li-Ming Zhao, Ming-Xu Da, Feng-Hai 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Researcher 1 20%
Lecturer 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Unspecified 1 20%
Environmental Science 1 20%
Biochemistry, Genetics and Molecular Biology 1 20%
Computer Science 1 20%
Unknown 1 20%
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 March 2024.
All research outputs
#23,376,378
of 26,047,917 outputs
Outputs from Frontiers in oncology
#16,326
of 22,877 outputs
Outputs of similar age
#278,631
of 342,564 outputs
Outputs of similar age from Frontiers in oncology
#567
of 674 outputs
Altmetric has tracked 26,047,917 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 22,877 research outputs from this source. They receive a mean Attention Score of 3.1. 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 342,564 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 674 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.