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Regulatory Effect of Mung Bean Peptide on Prediabetic Mice Induced by High-Fat Diet

Overview of attention for article published in Frontiers in Nutrition, June 2022
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1 X user

Citations

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15 Dimensions

Readers on

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14 Mendeley
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Title
Regulatory Effect of Mung Bean Peptide on Prediabetic Mice Induced by High-Fat Diet
Published in
Frontiers in Nutrition, June 2022
DOI 10.3389/fnut.2022.913016
Pubmed ID
Authors

Lina Li, Yu Tian, Shu Zhang, Yuchao Feng, Haoyu Wang, Xiaoyu Cheng, Yantao Ma, Rui Zhang, Changyuan Wang

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 14%
Student > Master 2 14%
Unknown 10 71%
Readers by discipline Count As %
Medicine and Dentistry 2 14%
Biochemistry, Genetics and Molecular Biology 1 7%
Unknown 11 79%
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 27 June 2022.
All research outputs
#20,231,392
of 22,757,090 outputs
Outputs from Frontiers in Nutrition
#3,432
of 4,425 outputs
Outputs of similar age
#355,955
of 441,747 outputs
Outputs of similar age from Frontiers in Nutrition
#515
of 717 outputs
Altmetric has tracked 22,757,090 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 4,425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. 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 441,747 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 717 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.