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Identification of colon cancer subtypes based on multi-omics data—construction of methylation markers for immunotherapy

Overview of attention for article published in Frontiers in oncology, January 2024
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Title
Identification of colon cancer subtypes based on multi-omics data—construction of methylation markers for immunotherapy
Published in
Frontiers in oncology, January 2024
DOI 10.3389/fonc.2024.1335670
Pubmed ID
Authors

Benjie Xu, Jie Lian, Xiangyi Pang, Yue Gu, Jiahao Zhu, Yan Zhang, Haibo Lu

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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 08 February 2024.
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
#260,462
of 371,586 outputs
Outputs of similar age from Frontiers in oncology
#384
of 783 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 371,586 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 783 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.