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AI/ML advances in non-small cell lung cancer biomarker discovery

Overview of attention for article published in Frontiers in oncology, December 2023
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Mentioned by

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2 X users

Citations

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1 Dimensions

Readers on

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10 Mendeley
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Title
AI/ML advances in non-small cell lung cancer biomarker discovery
Published in
Frontiers in oncology, December 2023
DOI 10.3389/fonc.2023.1260374
Pubmed ID
Authors

Minal Çalışkan, Koichi Tazaki

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Professor 1 10%
Researcher 1 10%
Student > Ph. D. Student 1 10%
Unknown 5 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 10%
Mathematics 1 10%
Computer Science 1 10%
Chemistry 1 10%
Engineering 1 10%
Other 0 0%
Unknown 5 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 11 December 2023.
All research outputs
#21,330,066
of 26,181,776 outputs
Outputs from Frontiers in oncology
#11,713
of 22,924 outputs
Outputs of similar age
#268,629
of 380,026 outputs
Outputs of similar age from Frontiers in oncology
#327
of 763 outputs
Altmetric has tracked 26,181,776 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 22,924 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 380,026 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 763 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.