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Integrated machine learning identifies a cellular senescence-related prognostic model to improve outcomes in uterine corpus endometrial carcinoma

Overview of attention for article published in Frontiers in immunology, June 2024
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Title
Integrated machine learning identifies a cellular senescence-related prognostic model to improve outcomes in uterine corpus endometrial carcinoma
Published in
Frontiers in immunology, June 2024
DOI 10.3389/fimmu.2024.1418508
Authors

Changqiang Wei, Shanshan Lin, Yanrong Huang, Yiyun Wei, Jingxin Mao, Jiangtao Fan

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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 27 June 2024.
All research outputs
#23,529,220
of 26,198,325 outputs
Outputs from Frontiers in immunology
#28,351
of 32,872 outputs
Outputs of similar age
#117,600
of 148,152 outputs
Outputs of similar age from Frontiers in immunology
#153
of 468 outputs
Altmetric has tracked 26,198,325 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 32,872 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. 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 148,152 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 468 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.