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Utility of Clinical–Radiomic Model to Identify Clinically Significant Prostate Cancer in Biparametric MRI PI-RADS V2.1 Category 3 Lesions

Overview of attention for article published in Frontiers in oncology, February 2022
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

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5 Mendeley
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Title
Utility of Clinical–Radiomic Model to Identify Clinically Significant Prostate Cancer in Biparametric MRI PI-RADS V2.1 Category 3 Lesions
Published in
Frontiers in oncology, February 2022
DOI 10.3389/fonc.2022.840786
Pubmed ID
Authors

Pengfei Jin, Liqin Yang, Xiaomeng Qiao, Chunhong Hu, Chenhan Hu, Ximing Wang, Jie Bao

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 %
Student > Ph. D. Student 1 20%
Researcher 1 20%
Lecturer 1 20%
Unknown 2 40%
Readers by discipline Count As %
Medicine and Dentistry 3 60%
Unknown 2 40%
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 14 March 2022.
All research outputs
#22,853,823
of 25,481,734 outputs
Outputs from Frontiers in oncology
#16,050
of 22,575 outputs
Outputs of similar age
#383,960
of 452,158 outputs
Outputs of similar age from Frontiers in oncology
#996
of 1,569 outputs
Altmetric has tracked 25,481,734 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 22,575 research outputs from this source. They receive a mean Attention Score of 3.0. 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 452,158 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 1,569 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.