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Enhanced CT-based radiomics model to predict natural killer cell infiltration and clinical prognosis in non-small cell lung cancer

Overview of attention for article published in Frontiers in immunology, January 2024
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Mentioned by

reddit
1 Redditor

Readers on

mendeley
2 Mendeley
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Title
Enhanced CT-based radiomics model to predict natural killer cell infiltration and clinical prognosis in non-small cell lung cancer
Published in
Frontiers in immunology, January 2024
DOI 10.3389/fimmu.2023.1334886
Pubmed ID
Authors

Xiangzhi Meng, Haijun Xu, Yicheng Liang, Mei Liang, Weijian Song, Boxuan Zhou, Jianwei Shi, Minjun Du, Yushun Gao

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Unknown 1 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 05 January 2024.
All research outputs
#23,093,097
of 25,738,558 outputs
Outputs from Frontiers in immunology
#27,962
of 32,294 outputs
Outputs of similar age
#289,408
of 352,873 outputs
Outputs of similar age from Frontiers in immunology
#794
of 1,047 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,294 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 1st percentile – i.e., 1% 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 352,873 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,047 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.