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Preparation of a nano emodin transfersome and study on its anti-obesity mechanism in adipose tissue of diet-induced obese rats

Overview of attention for article published in Journal of Translational Medicine, March 2014
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  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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1 X user

Citations

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70 Mendeley
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Title
Preparation of a nano emodin transfersome and study on its anti-obesity mechanism in adipose tissue of diet-induced obese rats
Published in
Journal of Translational Medicine, March 2014
DOI 10.1186/1479-5876-12-72
Pubmed ID
Authors

Kun Lu, Shuanshuan Xie, Shilong Han, Jidong Zhang, Xinwen Chang, Jin Chao, Qingqing Huang, Qing Yuan, Haiyan Lin, Lei Xu, Changxing Shen, Min Tan, Shen Qu, Changhui Wang, Xiaolian Song

Abstract

To describe the preparation of nano emodin transfersome (NET) and investigate its effect on mRNA expression of adipose triglyceride lipase (ATGL) and G0/G1 switch gene 2 (G0S2) in adipose tissue of diet-induced obese rats.

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

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 19%
Student > Bachelor 11 16%
Professor > Associate Professor 6 9%
Student > Ph. D. Student 6 9%
Lecturer 4 6%
Other 12 17%
Unknown 18 26%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 16 23%
Biochemistry, Genetics and Molecular Biology 12 17%
Medicine and Dentistry 9 13%
Agricultural and Biological Sciences 6 9%
Neuroscience 2 3%
Other 7 10%
Unknown 18 26%
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 19 March 2014.
All research outputs
#15,296,915
of 22,749,166 outputs
Outputs from Journal of Translational Medicine
#2,233
of 3,977 outputs
Outputs of similar age
#131,808
of 223,385 outputs
Outputs of similar age from Journal of Translational Medicine
#20
of 52 outputs
Altmetric has tracked 22,749,166 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,977 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 31st percentile – i.e., 31% 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 223,385 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.