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Chemometrics integrated with in silico pharmacology to reveal antioxidative and anti-inflammatory markers of dandelion for its quality control

Overview of attention for article published in Chinese Medicine, November 2022
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1 X user

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8 Mendeley
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Title
Chemometrics integrated with in silico pharmacology to reveal antioxidative and anti-inflammatory markers of dandelion for its quality control
Published in
Chinese Medicine, November 2022
DOI 10.1186/s13020-022-00679-4
Pubmed ID
Authors

Feng-Jie Liu, Jiao Yang, Xu-Yan Chen, Ting Yu, Hui Ni, Liang Feng, Ping Li, Hui-Jun Li

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 %
Researcher 2 25%
Lecturer 1 13%
Unknown 5 63%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 2 25%
Nursing and Health Professions 1 13%
Unknown 5 63%
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 07 November 2022.
All research outputs
#22,778,604
of 25,392,582 outputs
Outputs from Chinese Medicine
#517
of 660 outputs
Outputs of similar age
#375,924
of 440,732 outputs
Outputs of similar age from Chinese Medicine
#11
of 14 outputs
Altmetric has tracked 25,392,582 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 660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. 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 440,732 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 14 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.