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A Prognostic Model of Non-Small Cell Lung Cancer With a Radiomics Nomogram in an Eastern Chinese Population

Overview of attention for article published in Frontiers in oncology, June 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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5 Dimensions

Readers on

mendeley
6 Mendeley
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Title
A Prognostic Model of Non-Small Cell Lung Cancer With a Radiomics Nomogram in an Eastern Chinese Population
Published in
Frontiers in oncology, June 2022
DOI 10.3389/fonc.2022.816766
Pubmed ID
Authors

Lijie Wang, Ailing Liu, Zhiheng Wang, Ning Xu, Dandan Zhou, Tao Qu, Guiyuan Liu, Jingtao Wang, Fujun Yang, Xiaolei Guo, Weiwei Chi, Fuzhong Xue

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 17%
Lecturer 1 17%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline Count As %
Medicine and Dentistry 2 33%
Business, Management and Accounting 1 17%
Unknown 3 50%
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 14 June 2022.
All research outputs
#21,064,103
of 25,872,466 outputs
Outputs from Frontiers in oncology
#11,551
of 22,820 outputs
Outputs of similar age
#333,722
of 446,647 outputs
Outputs of similar age from Frontiers in oncology
#788
of 1,686 outputs
Altmetric has tracked 25,872,466 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 22,820 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 446,647 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 1,686 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.