↓ Skip to main content

Wiley Online Library

AAPM Task Group Report 307: Use of EPIDs for Patient‐Specific IMRT and VMAT QA

Overview of attention for article published in Medical Physics, June 2023
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
22 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
48 Mendeley
Title
AAPM Task Group Report 307: Use of EPIDs for Patient‐Specific IMRT and VMAT QA
Published in
Medical Physics, June 2023
DOI 10.1002/mp.16536
Pubmed ID
Authors

Nesrin Dogan, Ben J. Mijnheer, Kyle Padgett, Adrian Nalichowski, Chuan Wu, Matthew J. Nyflot, Arthur J. Olch, Niko Papanikolaou, Jie Shi, Shannon M. Holmes, Jean Moran, Peter B. Greer

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 X users 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Other 6 13%
Student > Master 5 10%
Student > Doctoral Student 3 6%
Unspecified 3 6%
Researcher 3 6%
Other 7 15%
Unknown 21 44%
Readers by discipline Count As %
Physics and Astronomy 12 25%
Unspecified 3 6%
Engineering 3 6%
Medicine and Dentistry 2 4%
Agricultural and Biological Sciences 1 2%
Other 3 6%
Unknown 24 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 11 January 2024.
All research outputs
#2,341,379
of 25,918,104 outputs
Outputs from Medical Physics
#123
of 8,057 outputs
Outputs of similar age
#42,433
of 375,915 outputs
Outputs of similar age from Medical Physics
#2
of 56 outputs
Altmetric has tracked 25,918,104 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,057 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 98% 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 375,915 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.