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Research progress on deep learning in magnetic resonance imaging–based diagnosis and treatment of prostate cancer: a review on the current status and perspectives

Overview of attention for article published in Frontiers in oncology, June 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user

Citations

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12 Dimensions

Readers on

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29 Mendeley
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Title
Research progress on deep learning in magnetic resonance imaging–based diagnosis and treatment of prostate cancer: a review on the current status and perspectives
Published in
Frontiers in oncology, June 2023
DOI 10.3389/fonc.2023.1189370
Pubmed ID
Authors

Mingze He, Yu Cao, Changliang Chi, Xinyi Yang, Rzayev Ramin, Shuowen Wang, Guodong Yang, Otabek Mukhtorov, Liqun Zhang, Anton Kazantsev, Mikhail Enikeev, Kebang Hu

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

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 10%
Student > Ph. D. Student 3 10%
Student > Master 2 7%
Other 2 7%
Researcher 2 7%
Other 2 7%
Unknown 15 52%
Readers by discipline Count As %
Unspecified 4 14%
Medicine and Dentistry 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Business, Management and Accounting 1 3%
Computer Science 1 3%
Other 3 10%
Unknown 17 59%
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 23 June 2023.
All research outputs
#21,328,996
of 26,180,352 outputs
Outputs from Frontiers in oncology
#11,709
of 22,922 outputs
Outputs of similar age
#289,035
of 390,290 outputs
Outputs of similar age from Frontiers in oncology
#405
of 1,096 outputs
Altmetric has tracked 26,180,352 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 22,922 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 28th percentile – i.e., 28% 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 390,290 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 1,096 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.