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Adaptive step size algorithm to increase efficiency of proton macro Monte Carlo dose calculation

Overview of attention for article published in Radiation Oncology, September 2019
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Mentioned by

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1 Facebook page

Citations

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6 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Adaptive step size algorithm to increase efficiency of proton macro Monte Carlo dose calculation
Published in
Radiation Oncology, September 2019
DOI 10.1186/s13014-019-1362-5
Pubmed ID
Authors

Reto Kueng, Daniel Frei, Werner Volken, Fabian Stuermlin, Marco F. M. Stampanoni, Daniel M. Aebersold, Peter Manser, Michael K. Fix

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 14%
Student > Master 3 14%
Professor 2 9%
Researcher 2 9%
Student > Bachelor 2 9%
Other 1 5%
Unknown 9 41%
Readers by discipline Count As %
Physics and Astronomy 7 32%
Medicine and Dentistry 2 9%
Nursing and Health Professions 1 5%
Mathematics 1 5%
Engineering 1 5%
Other 0 0%
Unknown 10 45%
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 14 October 2019.
All research outputs
#20,583,973
of 23,168,000 outputs
Outputs from Radiation Oncology
#1,697
of 2,081 outputs
Outputs of similar age
#290,035
of 340,925 outputs
Outputs of similar age from Radiation Oncology
#30
of 45 outputs
Altmetric has tracked 23,168,000 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,081 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 1st percentile – i.e., 1% 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 340,925 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.