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Identification and validation of novel biomarkers associated with immune infiltration for the diagnosis of osteosarcoma based on machine learning

Overview of attention for article published in Frontiers in Genetics, September 2023
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1 X user

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6 Mendeley
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Title
Identification and validation of novel biomarkers associated with immune infiltration for the diagnosis of osteosarcoma based on machine learning
Published in
Frontiers in Genetics, September 2023
DOI 10.3389/fgene.2023.1136783
Pubmed ID
Authors

Yuqiao Ji, Zhengjun Lin, Guoqing Li, Xinyu Tian, Yanlin Wu, Jia Wan, Tang Liu, Min Xu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Student > Bachelor 1 17%
Student > Doctoral Student 1 17%
Unknown 3 50%
Readers by discipline Count As %
Unspecified 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Medicine and Dentistry 1 17%
Unknown 3 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 04 September 2023.
All research outputs
#21,885,607
of 24,417,958 outputs
Outputs from Frontiers in Genetics
#9,361
of 13,154 outputs
Outputs of similar age
#149,511
of 182,827 outputs
Outputs of similar age from Frontiers in Genetics
#128
of 208 outputs
Altmetric has tracked 24,417,958 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 13,154 research outputs from this source. They receive a mean Attention Score of 3.7. 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 182,827 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 208 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.