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Prediction of Radiation Pneumonitis With Dose Distribution: A Convolutional Neural Network (CNN) Based Model

Overview of attention for article published in Frontiers in oncology, January 2020
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Mentioned by

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1 X user

Citations

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46 Dimensions

Readers on

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62 Mendeley
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Title
Prediction of Radiation Pneumonitis With Dose Distribution: A Convolutional Neural Network (CNN) Based Model
Published in
Frontiers in oncology, January 2020
DOI 10.3389/fonc.2019.01500
Pubmed ID
Authors

Bin Liang, Yuan Tian, Xinyuan Chen, Hui Yan, Lingling Yan, Tao Zhang, Zongmei Zhou, Lvhua Wang, Jianrong Dai

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 15%
Student > Master 8 13%
Researcher 7 11%
Student > Bachelor 3 5%
Student > Doctoral Student 2 3%
Other 4 6%
Unknown 29 47%
Readers by discipline Count As %
Medicine and Dentistry 8 13%
Physics and Astronomy 6 10%
Engineering 4 6%
Computer Science 3 5%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 7 11%
Unknown 32 52%
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 08 March 2020.
All research outputs
#23,154,082
of 25,806,763 outputs
Outputs from Frontiers in oncology
#16,265
of 22,805 outputs
Outputs of similar age
#407,587
of 477,540 outputs
Outputs of similar age from Frontiers in oncology
#300
of 438 outputs
Altmetric has tracked 25,806,763 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 22,805 research outputs from this source. They receive a mean Attention Score of 3.1. 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 477,540 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 438 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.