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Sex-related differences in urinary immune-related metabolic profiling of alopecia areata patients

Overview of attention for article published in Metabolomics, January 2020
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1 X user

Citations

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Readers on

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13 Mendeley
Title
Sex-related differences in urinary immune-related metabolic profiling of alopecia areata patients
Published in
Metabolomics, January 2020
DOI 10.1007/s11306-020-1634-y
Pubmed ID
Authors

Yu Ra Lee, Haksoon Kim, Bark Lynn Lew, Woo Young Sim, Jeongae Lee, Han Bin Oh, Jongki Hong, Bong Chul Chung

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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 23%
Professor 2 15%
Student > Ph. D. Student 2 15%
Student > Doctoral Student 1 8%
Researcher 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Medicine and Dentistry 4 31%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Chemistry 1 8%
Agricultural and Biological Sciences 1 8%
Unknown 6 46%
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 17 January 2020.
All research outputs
#20,599,981
of 23,186,937 outputs
Outputs from Metabolomics
#1,248
of 1,306 outputs
Outputs of similar age
#381,890
of 456,524 outputs
Outputs of similar age from Metabolomics
#25
of 30 outputs
Altmetric has tracked 23,186,937 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 1,306 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 456,524 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 30 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.