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Development of a multi-feature-combined model: proof-of-concept with application to local failure prediction of post-SBRT or surgery early-stage NSCLC patients

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

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
3 X users
reddit
1 Redditor

Readers on

mendeley
11 Mendeley
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Title
Development of a multi-feature-combined model: proof-of-concept with application to local failure prediction of post-SBRT or surgery early-stage NSCLC patients
Published in
Frontiers in oncology, September 2023
DOI 10.3389/fonc.2023.1185771
Pubmed ID
Authors

Zhenyu Yang, Chunhao Wang, Yuqi Wang, Kyle J. Lafata, Haozhao Zhang, Bradley G. Ackerson, Christopher Kelsey, Betty Tong, Fang-Fang Yin

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.
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 1 9%
Other 1 9%
Student > Doctoral Student 1 9%
Unknown 8 73%
Readers by discipline Count As %
Unspecified 1 9%
Computer Science 1 9%
Unknown 9 82%
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 02 October 2023.
All research outputs
#16,737,737
of 25,394,764 outputs
Outputs from Frontiers in oncology
#6,626
of 22,440 outputs
Outputs of similar age
#182,943
of 350,840 outputs
Outputs of similar age from Frontiers in oncology
#217
of 1,002 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,440 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 64% 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 350,840 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,002 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.