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Catching errors with patient-specific pretreatment machine log file analysis

Overview of attention for article published in Practical Radiation Oncology, June 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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6 X users

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68 Mendeley
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Article details
Title
Catching errors with patient-specific pretreatment machine log file analysis
Published in
Practical Radiation Oncology, June 2012
DOI 10.1016/j.prro.2012.05.002
Pubmed ID
Authors
Abstract

A robust, efficient, and reliable quality assurance (QA) process is highly desired for modern external beam radiation therapy treatments. Here, we report the results of a semiautomatic, pretreatment, patient-specific QA process based on dynamic machine log file analysis clinically implemented for intensity modulated radiation therapy (IMRT) treatments delivered by high energy linear accelerators (Varian 2100/2300 EX, Trilogy, iX-D, Varian Medical Systems Inc, Palo Alto, CA). The multileaf collimator machine (MLC) log files are called Dynalog by Varian.

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Philippines 1 1%
Japan 1 1%
Iran, Islamic Republic of 1 1%
Unknown 65 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 15 22%
Other 10 15%
Student > Ph. D. Student 10 15%
Student > Bachelor 6 9%
Researcher 5 7%
Other 8 12%
Unknown 14 21%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 26 38%
Medicine and Dentistry 9 13%
Computer Science 4 6%
Engineering 3 4%
Nursing and Health Professions 2 3%
Other 3 4%
Unknown 21 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 July 2012.
All research outputs
#6,962,864
of 25,373,627 outputs
Outputs from Practical Radiation Oncology
#373
of 1,027 outputs
Outputs of similar age
#47,524
of 180,775 outputs
Outputs of similar age from Practical Radiation Oncology
#2
of 9 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,027 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has gotten more attention than average, scoring higher than 63% of its peers.
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 180,775 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.