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Timeline
X Demographics
Mendeley readers
Attention Score in Context
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
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 5 | 23% |
United States | 2 | 9% |
Philippines | 1 | 5% |
Japan | 1 | 5% |
Unknown | 13 | 59% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 10 | 45% |
Members of the public | 10 | 45% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 59 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 12% |
Other | 7 | 12% |
Student > Master | 6 | 10% |
Unspecified | 5 | 8% |
Student > Doctoral Student | 3 | 5% |
Other | 9 | 15% |
Unknown | 22 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Physics and Astronomy | 19 | 32% |
Unspecified | 4 | 7% |
Engineering | 3 | 5% |
Medicine and Dentistry | 2 | 3% |
Computer Science | 1 | 2% |
Other | 6 | 10% |
Unknown | 24 | 41% |
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.