You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
Attention Score in Context
Title |
Applications of CT-based radiomics for the prediction of immune checkpoint markers and immunotherapeutic outcomes in non-small cell lung cancer
|
---|---|
Published in |
Frontiers in immunology, August 2024
|
DOI | 10.3389/fimmu.2024.1434171 |
Pubmed ID | |
Authors |
Jie Zheng, Shuang Xu, Guoyu Wang, Yiming Shi |
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 07 September 2024.
All research outputs
#21,680,400
of 26,617,918 outputs
Outputs from Frontiers in immunology
#26,039
of 33,418 outputs
Outputs of similar age
#127,074
of 198,427 outputs
Outputs of similar age from Frontiers in immunology
#252
of 450 outputs
Altmetric has tracked 26,617,918 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 33,418 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 13th percentile – i.e., 13% 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 198,427 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 450 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.