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Exploration of Potential Biomarkers for Type 2 Diabetes by UPLC-QTOF-MS and WGCNA of Skin Surface Lipids

Overview of attention for article published in Clinical, Cosmetic and Investigational Dermatology, January 2022
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2 X users

Citations

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Title
Exploration of Potential Biomarkers for Type 2 Diabetes by UPLC-QTOF-MS and WGCNA of Skin Surface Lipids
Published in
Clinical, Cosmetic and Investigational Dermatology, January 2022
DOI 10.2147/ccid.s347245
Pubmed ID
Authors

Huike Li, Yuchen Ma, Nan Feng, Wenbo Wang, Congfen He

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Student > Master 2 20%
Student > Doctoral Student 1 10%
Researcher 1 10%
Unknown 4 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 20%
Nursing and Health Professions 1 10%
Agricultural and Biological Sciences 1 10%
Chemistry 1 10%
Unknown 5 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 27 January 2022.
All research outputs
#21,061,429
of 25,809,966 outputs
Outputs from Clinical, Cosmetic and Investigational Dermatology
#725
of 917 outputs
Outputs of similar age
#392,069
of 519,414 outputs
Outputs of similar age from Clinical, Cosmetic and Investigational Dermatology
#21
of 26 outputs
Altmetric has tracked 25,809,966 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 917 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.8. This one is in the 11th percentile – i.e., 11% 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 519,414 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.