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Metabolic effects of mulberry branch bark powder on diabetic mice based on GC-MS metabolomics approach

Overview of attention for article published in Nutrition & Metabolism, January 2019
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Mentioned by

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1 X user

Citations

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Readers on

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42 Mendeley
Title
Metabolic effects of mulberry branch bark powder on diabetic mice based on GC-MS metabolomics approach
Published in
Nutrition & Metabolism, January 2019
DOI 10.1186/s12986-019-0335-x
Pubmed ID
Authors

Fan Qiu, Yu-Qing Zhang

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

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 19%
Student > Master 7 17%
Student > Postgraduate 3 7%
Student > Bachelor 2 5%
Professor 2 5%
Other 4 10%
Unknown 16 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 17%
Medicine and Dentistry 6 14%
Biochemistry, Genetics and Molecular Biology 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Nursing and Health Professions 2 5%
Other 6 14%
Unknown 16 38%
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 09 February 2019.
All research outputs
#20,554,592
of 23,128,387 outputs
Outputs from Nutrition & Metabolism
#857
of 953 outputs
Outputs of similar age
#370,675
of 437,810 outputs
Outputs of similar age from Nutrition & Metabolism
#17
of 17 outputs
Altmetric has tracked 23,128,387 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 953 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one is in the 1st percentile – i.e., 1% 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 437,810 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.