↓ Skip to main content

Antioxidant Activity of 45 Chinese Herbs and the Relationship with their TCM Characteristics

Overview of attention for article published in Evidence-based Complementary & Alternative Medicine (eCAM), March 2007
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

twitter
1 X user
facebook
1 Facebook page
wikipedia
3 Wikipedia pages
reddit
1 Redditor

Readers on

mendeley
81 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Antioxidant Activity of 45 Chinese Herbs and the Relationship with their TCM Characteristics
Published in
Evidence-based Complementary & Alternative Medicine (eCAM), March 2007
DOI 10.1093/ecam/nem054
Pubmed ID
Authors
Abstract

Here, 45 Chinese herbs that regulate blood circulation were analyzed for antioxidant activity using the oxygen radical absorbance capacity (ORAC) assay. A recent publication by Ou et al. identified a close relationship between in vitro antioxidant activity and classification of Chinese herbs as yin or yang. The 45 Chinese herbs in this study could be assigned the traditional characteristics of natures (cold, cool, hot and warm), flavors (pungent, sweet, sour, bitter and salty) and functions (arresting bleeding, promoting blood flow to relieve stasis, nourishing blood and clearing away heat from blood). These characteristics are generalized according to the theory of yin and yang. We identified a broad range, 40-1990 micromol Trolox Equivalent/g herbs, of antioxidant activity in water extracts. There was no significant correlation between ORAC values and natures or functions of the herbs. There was a significant relationship between flavors and ORAC values. Bitter and/or sour herbs had the highest ORAC values, pungent and/or sweet herbs the lowest. Other flavors had intermediate values. Flavors also correspond with the yin/yang relationship and our results are supportive of the earlier publication. We reported for the first time antioxidant properties of many Chinese herbs. High antioxidant herbs were identified as Spatholobus suberectus vine (1990 micromol TE/g), Sanguisorba officinalis root (1940 micromol TE/g), Agrimonia pilosa herb (1440 micromol TE/g), Artemisia anomala herb (1400 micromol TE/g), Salvia miltiorrhiza root (1320 micromol TE/g) and Nelembo nucifera leaf (1300 micromol TE/g). Antioxidant capacity appears to correlate with the flavors of herbs identified within the formal TCM classification system and may be a useful guide in describing their utility and biochemical mechanism of action.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 1%
Taiwan 1 1%
Japan 1 1%
Italy 1 1%
United Kingdom 1 1%
Unknown 76 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 11 14%
Student > Ph. D. Student 10 12%
Student > Master 9 11%
Student > Bachelor 8 10%
Student > Doctoral Student 6 7%
Other 10 12%
Unknown 27 33%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 18 22%
Medicine and Dentistry 15 19%
Pharmacology, Toxicology and Pharmaceutical Science 5 6%
Biochemistry, Genetics and Molecular Biology 4 5%
Nursing and Health Professions 2 2%
Other 8 10%
Unknown 29 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 November 2018.
All research outputs
#10,278,913
of 34,297,219 outputs
Outputs from Evidence-based Complementary & Alternative Medicine (eCAM)
#2,145
of 9,640 outputs
Outputs of similar age
#49,489
of 129,252 outputs
Outputs of similar age from Evidence-based Complementary & Alternative Medicine (eCAM)
#24
of 30 outputs
Altmetric has tracked 34,297,219 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 9,640 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has done well, scoring higher than 77% of its peers.
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 129,252 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
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 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.