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Study of the prediction of gamma passing rate in dosimetric verification of intensity-modulated radiotherapy using machine learning models based on plan complexity

Overview of attention for article published in Frontiers in oncology, July 2023
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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3 Mendeley
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Title
Study of the prediction of gamma passing rate in dosimetric verification of intensity-modulated radiotherapy using machine learning models based on plan complexity
Published in
Frontiers in oncology, July 2023
DOI 10.3389/fonc.2023.1094927
Pubmed ID
Authors

Shizhen Bin, Ji Zhang, Luyao Shen, Junjun Zhang, Qi Wang

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Medicine and Dentistry 1 33%
Unknown 1 33%
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 01 August 2023.
All research outputs
#21,505,240
of 26,398,142 outputs
Outputs from Frontiers in oncology
#11,937
of 23,104 outputs
Outputs of similar age
#273,505
of 371,824 outputs
Outputs of similar age from Frontiers in oncology
#380
of 1,049 outputs
Altmetric has tracked 26,398,142 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 23,104 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 26th percentile – i.e., 26% 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 371,824 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 1,049 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.