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Development and validation of a radiomic nomogram based on pretherapy dual-energy CT for distinguishing adenocarcinoma from squamous cell carcinoma of the lung

Overview of attention for article published in Frontiers in oncology, November 2022
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2 X users

Citations

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Title
Development and validation of a radiomic nomogram based on pretherapy dual-energy CT for distinguishing adenocarcinoma from squamous cell carcinoma of the lung
Published in
Frontiers in oncology, November 2022
DOI 10.3389/fonc.2022.949111
Pubmed ID
Authors

Zhiyong Chen, Li Yi, Zhiwei Peng, Jianzhong Zhou, Zhaotao Zhang, Yahong Tao, Ze Lin, Anjing He, Mengni Jin, Minjing Zuo

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 33%
Researcher 2 17%
Other 1 8%
Unknown 5 42%
Readers by discipline Count As %
Unspecified 3 25%
Arts and Humanities 1 8%
Business, Management and Accounting 1 8%
Agricultural and Biological Sciences 1 8%
Computer Science 1 8%
Other 0 0%
Unknown 5 42%
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 26 November 2022.
All research outputs
#20,673,680
of 25,392,582 outputs
Outputs from Frontiers in oncology
#11,324
of 22,436 outputs
Outputs of similar age
#359,817
of 487,704 outputs
Outputs of similar age from Frontiers in oncology
#980
of 1,506 outputs
Altmetric has tracked 25,392,582 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 22,436 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 29th percentile – i.e., 29% 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 487,704 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 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.