↓ Skip to main content

Automated Extraction of Dose/Volume Statistics for Radiotherapy-Treatment-Plan Evaluation in Clinical-Trial Quality Assurance

Overview of attention for article published in Frontiers in oncology, March 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
18 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Automated Extraction of Dose/Volume Statistics for Radiotherapy-Treatment-Plan Evaluation in Clinical-Trial Quality Assurance
Published in
Frontiers in oncology, March 2016
DOI 10.3389/fonc.2016.00047
Pubmed ID
Authors

Yutao U. T. Gong, Jialu Yu, Dalong Pang, Heming Zhen, James Galvin, Ying Xiao

Abstract

Radiotherapy clinical-trial quality assurance is a crucial yet challenging process. This note presents a tool that automatically extracts dose/volume statistics for determining dosimetry compliance review with improved efficiency and accuracy. A major objective of this study is to develop an automated solution for clinical-trial radiotherapy dosimetry review.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

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

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 17%
Student > Ph. D. Student 3 17%
Researcher 3 17%
Student > Master 1 6%
Lecturer > Senior Lecturer 1 6%
Other 2 11%
Unknown 5 28%
Readers by discipline Count As %
Medicine and Dentistry 9 50%
Physics and Astronomy 1 6%
Computer Science 1 6%
Social Sciences 1 6%
Engineering 1 6%
Other 0 0%
Unknown 5 28%
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 03 March 2016.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from Frontiers in oncology
#11,313
of 22,416 outputs
Outputs of similar age
#231,415
of 312,896 outputs
Outputs of similar age from Frontiers in oncology
#68
of 94 outputs
Altmetric has tracked 25,374,917 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 22,416 research outputs from this source. They receive a mean Attention Score of 3.0. 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 312,896 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 94 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.