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Optimizing prostate cancer accumulating model: combined PI-RADS v2 with prostate specific antigen and its derivative data

Overview of attention for article published in Cancer Imaging, May 2019
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Mentioned by

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1 X user

Citations

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7 Dimensions

Readers on

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19 Mendeley
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Title
Optimizing prostate cancer accumulating model: combined PI-RADS v2 with prostate specific antigen and its derivative data
Published in
Cancer Imaging, May 2019
DOI 10.1186/s40644-019-0208-6
Pubmed ID
Authors

Yuan-Fei Lu, Qian Zhang, Wei-Gen Yao, Hai-Yan Chen, Jie-Yu Chen, Cong-Cong Xu, Ri-Sheng Yu

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

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 16%
Other 2 11%
Lecturer 1 5%
Student > Bachelor 1 5%
Lecturer > Senior Lecturer 1 5%
Other 4 21%
Unknown 7 37%
Readers by discipline Count As %
Medicine and Dentistry 7 37%
Nursing and Health Professions 2 11%
Neuroscience 1 5%
Computer Science 1 5%
Unknown 8 42%
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 24 May 2019.
All research outputs
#20,667,544
of 25,385,509 outputs
Outputs from Cancer Imaging
#445
of 674 outputs
Outputs of similar age
#277,986
of 364,013 outputs
Outputs of similar age from Cancer Imaging
#16
of 22 outputs
Altmetric has tracked 25,385,509 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 674 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 10th percentile – i.e., 10% 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 364,013 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 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.