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A combination extract of ginseng, epimedium, polygala, and tuber curcumae increases synaptophysin expression in APPV717I transgenic mice

Overview of attention for article published in Chinese Medicine, June 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
19 Mendeley
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Title
A combination extract of ginseng, epimedium, polygala, and tuber curcumae increases synaptophysin expression in APPV717I transgenic mice
Published in
Chinese Medicine, June 2012
DOI 10.1186/1749-8546-7-13
Pubmed ID
Authors

Jing Shi, Jinzhou Tian, Xuekai Zhang, Mingqing Wei, Long Yin, Pengwen Wang, Yongyan Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 16%
Student > Bachelor 3 16%
Student > Doctoral Student 2 11%
Professor 2 11%
Lecturer 1 5%
Other 4 21%
Unknown 4 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 21%
Neuroscience 4 21%
Pharmacology, Toxicology and Pharmaceutical Science 3 16%
Chemical Engineering 1 5%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 5 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 16 January 2020.
All research outputs
#6,597,909
of 25,374,917 outputs
Outputs from Chinese Medicine
#117
of 660 outputs
Outputs of similar age
#44,839
of 180,633 outputs
Outputs of similar age from Chinese Medicine
#1
of 5 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
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 has done well, scoring higher than 82% 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 180,633 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 74% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them