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Deriving Pulmonary Ventilation Images From Clinical 4D-CBCT Using a Deep Learning-Based Model

Overview of attention for article published in Frontiers in oncology, May 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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3 Dimensions

Readers on

mendeley
14 Mendeley
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Title
Deriving Pulmonary Ventilation Images From Clinical 4D-CBCT Using a Deep Learning-Based Model
Published in
Frontiers in oncology, May 2022
DOI 10.3389/fonc.2022.889266
Pubmed ID
Authors

Zhiqiang Liu, Yuan Tian, Junjie Miao, Kuo Men, Wenqing Wang, Xin Wang, Tao Zhang, Nan Bi, Jianrong Dai

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 14%
Student > Master 2 14%
Researcher 2 14%
Student > Ph. D. Student 1 7%
Unspecified 1 7%
Other 1 7%
Unknown 5 36%
Readers by discipline Count As %
Medicine and Dentistry 5 36%
Physics and Astronomy 2 14%
Unspecified 1 7%
Unknown 6 43%
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 19 May 2022.
All research outputs
#21,309,356
of 26,169,168 outputs
Outputs from Frontiers in oncology
#11,651
of 22,913 outputs
Outputs of similar age
#339,229
of 450,878 outputs
Outputs of similar age from Frontiers in oncology
#704
of 1,506 outputs
Altmetric has tracked 26,169,168 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,913 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 28th percentile – i.e., 28% 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 450,878 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,506 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.