| Title |
Chinese herbal medicines for hypertriglyceridaemia
|
|---|---|
| Published in |
Cochrane database of systematic reviews, June 2013
|
| DOI | 10.1002/14651858.cd009560.pub2 |
| Pubmed ID | |
| Authors |
Zhao Lan Liu, George Q Li, Alan Bensoussan, Hosen Kiat, Kelvin Chan, Jian Ping Liu |
| Abstract |
Hypertriglyceridaemia is associated with many diseases including atherosclerosis, diabetes, hypertension and chylomicronaemia. Chinese herbal medicines have been used for a long time as lipid-lowering agents. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Unknown | 144 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 13% |
| Student > Bachelor | 15 | 10% |
| Researcher | 14 | 10% |
| Student > Ph. D. Student | 9 | 6% |
| Student > Doctoral Student | 9 | 6% |
| Other | 30 | 21% |
| Unknown | 49 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 28% |
| Nursing and Health Professions | 18 | 12% |
| Biochemistry, Genetics and Molecular Biology | 5 | 3% |
| Economics, Econometrics and Finance | 5 | 3% |
| Psychology | 4 | 3% |
| Other | 19 | 13% |
| Unknown | 54 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 2013.
All research outputs
#7,993,771
of 25,457,297 outputs
Outputs from Cochrane database of systematic reviews
#8,729
of 11,499 outputs
Outputs of similar age
#65,380
of 210,295 outputs
Outputs of similar age from Cochrane database of systematic reviews
#212
of 279 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 11,499 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.0. This one is in the 22nd percentile – i.e., 22% 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 210,295 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 67% of its contemporaries.
We're also able to compare this research output to 279 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.