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Computation and molecular pharmacology to trace the anti-rheumatoid activity of Angelicae Pubescentis Radix

Overview of attention for article published in BMC Complementary Medicine and Therapies, November 2022
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

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4 Mendeley
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Title
Computation and molecular pharmacology to trace the anti-rheumatoid activity of Angelicae Pubescentis Radix
Published in
BMC Complementary Medicine and Therapies, November 2022
DOI 10.1186/s12906-022-03769-w
Pubmed ID
Authors

Junhao Zhang, Rui Wang, Xiao Liang, Hao Tian Bai, Ya Lan Li, Shuhui Sun, Qianqian Zhang, Jing 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Researcher 1 25%
Student > Doctoral Student 1 25%
Unknown 1 25%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 25%
Nursing and Health Professions 1 25%
Medicine and Dentistry 1 25%
Unknown 1 25%
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 29 November 2022.
All research outputs
#22,778,604
of 25,392,582 outputs
Outputs from BMC Complementary Medicine and Therapies
#3,205
of 3,961 outputs
Outputs of similar age
#416,036
of 487,568 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#37
of 57 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 3,961 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. 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 487,568 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 57 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.