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Identification of Urine Metabolic Biomarkers for Vogt-Koyanagi-Harada Disease

Overview of attention for article published in Frontiers in Cell and Developmental Biology, February 2021
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Mentioned by

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1 X user

Citations

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10 Dimensions

Readers on

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8 Mendeley
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Title
Identification of Urine Metabolic Biomarkers for Vogt-Koyanagi-Harada Disease
Published in
Frontiers in Cell and Developmental Biology, February 2021
DOI 10.3389/fcell.2021.637489
Pubmed ID
Authors

Rui Chang, Ying Zhu, Jing Xu, Lin Chen, Guannan Su, Aize Kijlstra, Peizeng 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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 13%
Student > Postgraduate 1 13%
Student > Doctoral Student 1 13%
Unknown 5 63%
Readers by discipline Count As %
Medicine and Dentistry 2 25%
Computer Science 1 13%
Unspecified 1 13%
Unknown 4 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 16 March 2021.
All research outputs
#20,692,340
of 23,289,753 outputs
Outputs from Frontiers in Cell and Developmental Biology
#6,225
of 9,277 outputs
Outputs of similar age
#360,813
of 418,094 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#585
of 891 outputs
Altmetric has tracked 23,289,753 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 9,277 research outputs from this source. They receive a mean Attention Score of 3.4. 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 418,094 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 891 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.