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DAART: a deep learning platform for deeply accelerated adaptive radiation therapy for lung cancer

Overview of attention for article published in Frontiers in oncology, July 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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2 X users

Citations

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3 Dimensions

Readers on

mendeley
11 Mendeley
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Title
DAART: a deep learning platform for deeply accelerated adaptive radiation therapy for lung cancer
Published in
Frontiers in oncology, July 2023
DOI 10.3389/fonc.2023.1201679
Pubmed ID
Authors

Hamed Hooshangnejad, Quan Chen, Xue Feng, Rui Zhang, Reza Farjam, Khinh Ranh Voong, Russell K. Hales, Yong Du, Xun Jia, Kai Ding

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 18%
Student > Ph. D. Student 1 9%
Student > Bachelor 1 9%
Lecturer 1 9%
Unknown 6 55%
Readers by discipline Count As %
Unspecified 2 18%
Nursing and Health Professions 1 9%
Medicine and Dentistry 1 9%
Engineering 1 9%
Unknown 6 55%
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 17 July 2023.
All research outputs
#20,216,385
of 25,707,225 outputs
Outputs from Frontiers in oncology
#9,472
of 22,767 outputs
Outputs of similar age
#257,121
of 370,783 outputs
Outputs of similar age from Frontiers in oncology
#293
of 1,053 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,767 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 49th percentile – i.e., 49% 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 370,783 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,053 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.