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Multi-view radiomics and deep learning modeling for prostate cancer detection based on multi-parametric MRI

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

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Multi-view radiomics and deep learning modeling for prostate cancer detection based on multi-parametric MRI
Published in
Frontiers in oncology, June 2023
DOI 10.3389/fonc.2023.1198899
Pubmed ID
Authors

Chunyu Li, Ming Deng, Xiaoli Zhong, Jinxia Ren, Xiaohui Chen, Jun Chen, Feng Xiao, Haibo Xu

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

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 13%
Student > Ph. D. Student 2 13%
Student > Master 2 13%
Student > Bachelor 1 7%
Researcher 1 7%
Other 0 0%
Unknown 7 47%
Readers by discipline Count As %
Nursing and Health Professions 2 13%
Biochemistry, Genetics and Molecular Biology 1 7%
Mathematics 1 7%
Computer Science 1 7%
Sports and Recreations 1 7%
Other 1 7%
Unknown 8 53%
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 09 July 2023.
All research outputs
#17,960,941
of 26,281,700 outputs
Outputs from Frontiers in oncology
#8,320
of 22,959 outputs
Outputs of similar age
#221,902
of 383,412 outputs
Outputs of similar age from Frontiers in oncology
#282
of 1,058 outputs
Altmetric has tracked 26,281,700 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,959 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 57% 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 383,412 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 1,058 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 68% of its contemporaries.