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Identifying octogenarians with non-small cell lung cancer who could benefit from surgery: A population-based predictive model

Overview of attention for article published in Frontiers in Surgery, July 2022
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Title
Identifying octogenarians with non-small cell lung cancer who could benefit from surgery: A population-based predictive model
Published in
Frontiers in Surgery, July 2022
DOI 10.3389/fsurg.2022.972014
Pubmed ID
Authors

Ce Chao, Dongmei Di, Min Wang, Yang Liu, Bin Wang, Yongxiang Qian

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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 03 September 2022.
All research outputs
#20,742,744
of 23,344,526 outputs
Outputs from Frontiers in Surgery
#1,461
of 3,184 outputs
Outputs of similar age
#346,005
of 434,579 outputs
Outputs of similar age from Frontiers in Surgery
#173
of 432 outputs
Altmetric has tracked 23,344,526 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 3,184 research outputs from this source. They receive a mean Attention Score of 2.2. 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 434,579 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 432 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.