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Use of Radiomics Combined With Machine Learning Method in the Recurrence Patterns After Intensity-Modulated Radiotherapy for Nasopharyngeal Carcinoma: A Preliminary Study

Overview of attention for article published in Frontiers in oncology, December 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
2 X users
googleplus
1 Google+ user

Readers on

mendeley
78 Mendeley
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Title
Use of Radiomics Combined With Machine Learning Method in the Recurrence Patterns After Intensity-Modulated Radiotherapy for Nasopharyngeal Carcinoma: A Preliminary Study
Published in
Frontiers in oncology, December 2018
DOI 10.3389/fonc.2018.00648
Pubmed ID
Authors

Shuangshuang Li, Kongcheng Wang, Zhen Hou, Ju Yang, Wei Ren, Shanbao Gao, Fanyan Meng, Puyuan Wu, Baorui Liu, Juan Liu, Jing Yan

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

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 19%
Student > Ph. D. Student 9 12%
Researcher 7 9%
Student > Doctoral Student 4 5%
Student > Bachelor 3 4%
Other 9 12%
Unknown 31 40%
Readers by discipline Count As %
Medicine and Dentistry 15 19%
Engineering 6 8%
Nursing and Health Professions 6 8%
Computer Science 5 6%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 9 12%
Unknown 34 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 12 January 2019.
All research outputs
#16,292,673
of 25,728,855 outputs
Outputs from Frontiers in oncology
#5,745
of 22,769 outputs
Outputs of similar age
#254,666
of 446,543 outputs
Outputs of similar age from Frontiers in oncology
#72
of 216 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,769 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 71% 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 446,543 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 216 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 64% of its contemporaries.