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Bioactivities of major constituents isolated from Angelica sinensis (Danggui)

Overview of attention for article published in Chinese Medicine, January 2011
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1 tweeter

Citations

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102 Dimensions

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90 Mendeley
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Title
Bioactivities of major constituents isolated from Angelica sinensis (Danggui)
Published in
Chinese Medicine, January 2011
DOI 10.1186/1749-8546-6-29
Pubmed ID
Authors

Wen-Wan Chao, Bi-Fong Lin

Abstract

Danggui, also known as Angelica sinensis (Oliv.) Diels (Apiaceae), has been used in Chinese medicine to treat menstrual disorders. Over 70 compounds have been isolated and identified from Danggui. The main chemical constituents of Angelica roots include ferulic acid, Z-ligustilide, butylidenephthalide and various polysaccharides. Among these compounds, ferulic acid exhibits many bioactivities especially anti-inflammatory and immunostimulatory effects; Z-ligustilide exerts anti-inflammatory, anti-cancer, neuroprotective and anti-hepatotoxic effects; n-butylidenephthalide exerts anti-inflammatory, anti-cancer and anti-cardiovascular effects.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
Unknown 89 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 24 27%
Researcher 12 13%
Student > Ph. D. Student 11 12%
Student > Master 10 11%
Other 9 10%
Other 7 8%
Unknown 17 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 20%
Medicine and Dentistry 17 19%
Chemistry 12 13%
Biochemistry, Genetics and Molecular Biology 7 8%
Nursing and Health Professions 6 7%
Other 10 11%
Unknown 20 22%

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 15 January 2012.
All research outputs
#2,327,798
of 4,505,992 outputs
Outputs from Chinese Medicine
#84
of 177 outputs
Outputs of similar age
#27,939
of 68,375 outputs
Outputs of similar age from Chinese Medicine
#3
of 6 outputs
Altmetric has tracked 4,505,992 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 177 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 36th percentile – i.e., 36% 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 68,375 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.