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Association of genetic variants in the Sirt1 and Nrf2 genes with the risk of metabolic syndrome in a Chinese Han population

Overview of attention for article published in BMC Endocrine Disorders, April 2022
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1 X user

Citations

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5 Dimensions

Readers on

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12 Mendeley
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Title
Association of genetic variants in the Sirt1 and Nrf2 genes with the risk of metabolic syndrome in a Chinese Han population
Published in
BMC Endocrine Disorders, April 2022
DOI 10.1186/s12902-022-00965-0
Pubmed ID
Authors

T. T. Tao, X. H. Lin, S. J. Tang, W. W. Gui, W. F. Zhu, H. Li

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 25%
Lecturer 2 17%
Student > Ph. D. Student 2 17%
Unknown 5 42%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 25%
Nursing and Health Professions 2 17%
Medicine and Dentistry 2 17%
Unknown 5 42%
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 02 April 2022.
All research outputs
#20,861,471
of 23,476,369 outputs
Outputs from BMC Endocrine Disorders
#649
of 789 outputs
Outputs of similar age
#362,283
of 443,530 outputs
Outputs of similar age from BMC Endocrine Disorders
#28
of 43 outputs
Altmetric has tracked 23,476,369 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 789 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. 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 443,530 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 43 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.