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Identification of Potential Ferroptosis Biomarkers and Analysis of Immune Cell Infiltration in Psoriasis Using Machine Learning

Overview of attention for article published in Clinical, Cosmetic and Investigational Dermatology, May 2024
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1 X user

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2 Mendeley
Title
Identification of Potential Ferroptosis Biomarkers and Analysis of Immune Cell Infiltration in Psoriasis Using Machine Learning
Published in
Clinical, Cosmetic and Investigational Dermatology, May 2024
DOI 10.2147/ccid.s457958
Pubmed ID
Authors

Xiaoyan Wu, Yuzhe Sun, Shuyi Wei, Huoyou Hu, Bin Yang

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 50%
Unknown 1 50%
Readers by discipline Count As %
Neuroscience 1 50%
Unknown 1 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 05 June 2024.
All research outputs
#23,796,365
of 26,488,660 outputs
Outputs from Clinical, Cosmetic and Investigational Dermatology
#847
of 948 outputs
Outputs of similar age
#277,806
of 338,653 outputs
Outputs of similar age from Clinical, Cosmetic and Investigational Dermatology
#10
of 12 outputs
Altmetric has tracked 26,488,660 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 948 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.2. 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 338,653 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 12 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.