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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Natural Medicines Used in the Traditional Tibetan Medical System for the Treatment of Liver Diseases
|
|---|---|
| Published in |
Frontiers in Pharmacology, January 2018
|
| DOI | 10.3389/fphar.2018.00029 |
| Pubmed ID | |
| Authors |
Qi Li, Hai-Jiao Li, Tong Xu, Huan Du, Chen-Lei Huan Gang, Gang Fan, Yi Zhang |
| Abstract |
Liver disease is one of the most risk factors threatening human health. It is of great significance to find drugs that can treat liver diseases, especially for acute and chronic hepatitis, non-alcoholic fatty liver disease, and liver cancer. The search for drugs with good efficacy from traditional natural medicines has attracted more and more attention. Tibetan medicine, one of the China's traditional medical systems, has been widely used by the Tibetan people for the prevention and treatment of liver diseases for hundreds of years. The present paper summarized the natural Tibetan medicines that have been used in Tibetan traditional system of medicine to treat liver diseases by bibliographic investigation of 22 Tibetan medicine monographs and drug standards. One hundred and ninety three species including 181 plants, 7 animals, and 5 minerals were found to treat liver diseases in traditional Tibetan medicine system. The most frequently used species areCarthamus tinctorius, Brag-zhun,Swertia chirayita, Swertia mussotii, Halenia elliptica, Herpetospermum pedunculosum, andPhyllanthus emblica. Their names, families, medicinal parts, traditional uses, phytochemicals information, and pharmacological activities were described in detail. These natural medicines might be a valuable gift from the old Tibetan medicine to the world, and would be potential drug candidates for the treatment of liver diseases. Further studies are needed to prove their medicinal values in liver diseases treatment, identify bioactive compounds, elucidate the underlying mechanism of action, and clarify their side effects or toxicity with the help of modern phytochemical, pharmacological, metabonomics, and/or clinical trial methods. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 12% |
| Researcher | 9 | 12% |
| Student > Bachelor | 5 | 7% |
| Student > Postgraduate | 5 | 7% |
| Student > Ph. D. Student | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 32 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Medicine and Dentistry | 8 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 8% |
| Agricultural and Biological Sciences | 4 | 5% |
| Chemistry | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 35 | 48% |
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 14 August 2022.
All research outputs
#19,057,166
of 24,267,449 outputs
Outputs from Frontiers in Pharmacology
#7,847
of 18,159 outputs
Outputs of similar age
#319,662
of 448,059 outputs
Outputs of similar age from Frontiers in Pharmacology
#138
of 294 outputs
Altmetric has tracked 24,267,449 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 18,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 49th percentile – i.e., 49% 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 448,059 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 294 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.