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MLC parameters from static fields to VMAT plans: an evaluation in a RT-dedicated MC environment (PRIMO)

Overview of attention for article published in Radiation Oncology, December 2019
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1 X user

Citations

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23 Mendeley
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Title
MLC parameters from static fields to VMAT plans: an evaluation in a RT-dedicated MC environment (PRIMO)
Published in
Radiation Oncology, December 2019
DOI 10.1186/s13014-019-1421-y
Pubmed ID
Authors

Lucia Paganini, Giacomo Reggiori, Antonella Stravato, Valentina Palumbo, Pietro Mancosu, Francesca Lobefalo, Anna Gaudino, Antonella Fogliata, Marta Scorsetti, Stefano Tomatis

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 26%
Other 4 17%
Student > Ph. D. Student 2 9%
Student > Doctoral Student 1 4%
Student > Bachelor 1 4%
Other 2 9%
Unknown 7 30%
Readers by discipline Count As %
Physics and Astronomy 8 35%
Medicine and Dentistry 2 9%
Veterinary Science and Veterinary Medicine 1 4%
Psychology 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 2 9%
Unknown 8 35%
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 06 May 2020.
All research outputs
#20,616,427
of 23,206,358 outputs
Outputs from Radiation Oncology
#1,698
of 2,086 outputs
Outputs of similar age
#384,567
of 459,236 outputs
Outputs of similar age from Radiation Oncology
#45
of 70 outputs
Altmetric has tracked 23,206,358 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 2,086 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 459,236 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 70 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.