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Sharp loss: a new loss function for radiotherapy dose prediction based on fully convolutional networks

Overview of attention for article published in BioMedical Engineering OnLine, October 2021
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

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15 Mendeley
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Title
Sharp loss: a new loss function for radiotherapy dose prediction based on fully convolutional networks
Published in
BioMedical Engineering OnLine, October 2021
DOI 10.1186/s12938-021-00937-w
Pubmed ID
Authors

Xue Bai, Jie Zhang, Binbing Wang, Shengye Wang, Yida Xiang, Qing Hou

X Demographics

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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 33%
Researcher 1 7%
Unknown 9 60%
Readers by discipline Count As %
Engineering 2 13%
Agricultural and Biological Sciences 1 7%
Medicine and Dentistry 1 7%
Physics and Astronomy 1 7%
Unknown 10 67%
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 11 October 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from BioMedical Engineering OnLine
#702
of 834 outputs
Outputs of similar age
#358,249
of 434,992 outputs
Outputs of similar age from BioMedical Engineering OnLine
#13
of 14 outputs
Altmetric has tracked 23,310,485 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 834 research outputs from this source. They receive a mean Attention Score of 4.7. 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 434,992 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 14 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.