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Dosimetric Study of Deep Learning-Guided ITV Prediction in Cone-beam CT for Lung Stereotactic Body Radiotherapy

Overview of attention for article published in Frontiers in Public Health, March 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
18 Mendeley
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Title
Dosimetric Study of Deep Learning-Guided ITV Prediction in Cone-beam CT for Lung Stereotactic Body Radiotherapy
Published in
Frontiers in Public Health, March 2022
DOI 10.3389/fpubh.2022.860135
Pubmed ID
Authors

Shujun Zhang, Bo Lv, Xiangpeng Zheng, Ya Li, Weiqiang Ge, Libo Zhang, Fan Mo, Jianjian Qiu

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 17%
Student > Ph. D. Student 1 6%
Student > Master 1 6%
Unknown 13 72%
Readers by discipline Count As %
Medicine and Dentistry 4 22%
Engineering 1 6%
Unknown 13 72%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 May 2022.
All research outputs
#15,643,035
of 26,473,472 outputs
Outputs from Frontiers in Public Health
#4,496
of 14,996 outputs
Outputs of similar age
#207,229
of 454,030 outputs
Outputs of similar age from Frontiers in Public Health
#283
of 996 outputs
Altmetric has tracked 26,473,472 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,996 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 68% of its peers.
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 454,030 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 996 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 70% of its contemporaries.