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Identification and chemical profiling of anti-alcoholic liver disease biomarkers of ginseng Huang jiu using UPLC-Q-Orbitrap-HRMS and network pharmacology-based analyses

Overview of attention for article published in Frontiers in Nutrition, August 2022
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Mentioned by

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2 X users

Citations

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2 Mendeley
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Title
Identification and chemical profiling of anti-alcoholic liver disease biomarkers of ginseng Huang jiu using UPLC-Q-Orbitrap-HRMS and network pharmacology-based analyses
Published in
Frontiers in Nutrition, August 2022
DOI 10.3389/fnut.2022.978122
Pubmed ID
Authors

Yongxi Wu, Yongyu Cai, Liting Ma, Fangtong Li, Meiyu Zhang, Yizhu Wang, Fei Zheng, Zifeng Pi, Hao Yue

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 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 %
Student > Doctoral Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Nursing and Health Professions 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 30 August 2022.
All research outputs
#18,722,646
of 23,206,358 outputs
Outputs from Frontiers in Nutrition
#3,236
of 4,832 outputs
Outputs of similar age
#300,208
of 433,574 outputs
Outputs of similar age from Frontiers in Nutrition
#393
of 678 outputs
Altmetric has tracked 23,206,358 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,832 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 22nd percentile – i.e., 22% 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 433,574 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 678 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.