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Evaluation of Automatic Segmentation Model With Dosimetric Metrics for Radiotherapy of Esophageal Cancer

Overview of attention for article published in Frontiers in oncology, September 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Evaluation of Automatic Segmentation Model With Dosimetric Metrics for Radiotherapy of Esophageal Cancer
Published in
Frontiers in oncology, September 2020
DOI 10.3389/fonc.2020.564737
Pubmed ID
Authors

Ji Zhu, Xinyuan Chen, Bining Yang, Nan Bi, Tao Zhang, Kuo Men, Jianrong Dai

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 10%
Student > Postgraduate 3 8%
Student > Bachelor 3 8%
Unspecified 2 5%
Lecturer > Senior Lecturer 2 5%
Other 7 18%
Unknown 18 46%
Readers by discipline Count As %
Medicine and Dentistry 10 26%
Social Sciences 3 8%
Unspecified 2 5%
Computer Science 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 1 3%
Unknown 20 51%
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 06 January 2021.
All research outputs
#17,628,251
of 25,838,141 outputs
Outputs from Frontiers in oncology
#8,179
of 22,812 outputs
Outputs of similar age
#277,412
of 435,093 outputs
Outputs of similar age from Frontiers in oncology
#232
of 672 outputs
Altmetric has tracked 25,838,141 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,812 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 58% 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 435,093 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 672 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 58% of its contemporaries.