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Deep Learning Improved Clinical Target Volume Contouring Quality and Efficiency for Postoperative Radiation Therapy in Non-small Cell Lung Cancer

Overview of attention for article published in Frontiers in oncology, November 2019
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1 X user

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36 Mendeley
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Title
Deep Learning Improved Clinical Target Volume Contouring Quality and Efficiency for Postoperative Radiation Therapy in Non-small Cell Lung Cancer
Published in
Frontiers in oncology, November 2019
DOI 10.3389/fonc.2019.01192
Pubmed ID
Authors

Nan Bi, Jingbo Wang, Tao Zhang, Xinyuan Chen, Wenlong Xia, Junjie Miao, Kunpeng Xu, Linfang Wu, Quanrong Fan, Luhua Wang, Yexiong Li, Zongmei Zhou, 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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 19%
Student > Ph. D. Student 6 17%
Student > Bachelor 4 11%
Student > Doctoral Student 2 6%
Student > Master 2 6%
Other 3 8%
Unknown 12 33%
Readers by discipline Count As %
Medicine and Dentistry 7 19%
Physics and Astronomy 5 14%
Nursing and Health Professions 2 6%
Engineering 2 6%
Linguistics 1 3%
Other 5 14%
Unknown 14 39%
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 05 December 2019.
All research outputs
#23,154,082
of 25,806,080 outputs
Outputs from Frontiers in oncology
#16,265
of 22,805 outputs
Outputs of similar age
#324,000
of 376,533 outputs
Outputs of similar age from Frontiers in oncology
#319
of 465 outputs
Altmetric has tracked 25,806,080 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 376,533 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 465 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.