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Mendeley readers
Attention Score in Context
| Title |
Chinese medicines as a resource for liver fibrosis treatment
|
|---|---|
| Published in |
Chinese Medicine, August 2009
|
| DOI | 10.1186/1749-8546-4-16 |
| Pubmed ID | |
| Authors |
Yibin Feng, Kwok-Fan Cheung, Ning Wang, Ping Liu, Tadashi Nagamatsu, Yao Tong |
| Abstract |
Liver fibrosis is a condition of abnormal proliferation of connective tissue due to various types of chronic liver injury often caused by viral infection and chemicals. Effective therapies against liver fibrosis are still limited. In this review, we focus on research on Chinese medicines against liver fibrosis in three categories, namely pure compounds, composite formulae and combination treatment using single compounds with composite formulae or conventional medicines. Action mechanisms of the anti-fibrosis Chinese medicines, clinical application, herbal adverse events and quality control are also reviewed. Evidence indicates that some Chinese medicines are clinically effective on liver fibrosis. Strict quality control such as research to identify and monitor the manufacturing of Chinese medicines enables reliable pharmacological, clinical and in-depth mechanism studies. Further experiments and clinical trials should be carried out on the platforms that conform to international standards. |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 2% |
| Chile | 1 | 2% |
| Australia | 1 | 2% |
| India | 1 | 2% |
| Denmark | 1 | 2% |
| Unknown | 40 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 24% |
| Student > Ph. D. Student | 9 | 20% |
| Student > Doctoral Student | 6 | 13% |
| Researcher | 5 | 11% |
| Student > Postgraduate | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 4 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 36% |
| Agricultural and Biological Sciences | 13 | 29% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 7% |
| Computer Science | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 5 | 11% |
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 December 2016.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from Chinese Medicine
#424
of 660 outputs
Outputs of similar age
#109,071
of 118,614 outputs
Outputs of similar age from Chinese Medicine
#2
of 2 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 21st percentile – i.e., 21% 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 118,614 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.