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Traditional Chinese medicines benefit to nonalcoholic fatty liver disease: a systematic review and meta-analysis

Overview of attention for article published in Molecular Biology Reports, June 2012
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1 X user

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57 Mendeley
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Title
Traditional Chinese medicines benefit to nonalcoholic fatty liver disease: a systematic review and meta-analysis
Published in
Molecular Biology Reports, June 2012
DOI 10.1007/s11033-012-1836-0
Pubmed ID
Authors

Ke-Qing Shi, Yu-Chen Fan, Wen-Yue Liu, Ling-Fei Li, Yong-Ping Chen, Ming-Hua Zheng

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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 14%
Student > Ph. D. Student 7 12%
Student > Bachelor 6 11%
Other 6 11%
Student > Master 5 9%
Other 6 11%
Unknown 19 33%
Readers by discipline Count As %
Medicine and Dentistry 12 21%
Agricultural and Biological Sciences 9 16%
Biochemistry, Genetics and Molecular Biology 5 9%
Nursing and Health Professions 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 6 11%
Unknown 20 35%
Attention Score in Context

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 08 July 2017.
All research outputs
#18,559,907
of 22,986,950 outputs
Outputs from Molecular Biology Reports
#1,625
of 2,945 outputs
Outputs of similar age
#126,776
of 164,637 outputs
Outputs of similar age from Molecular Biology Reports
#27
of 49 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,945 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 30th percentile – i.e., 30% 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 164,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.