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Association of Genetic Variants in IGF2-Related Genes With Risk of Metabolic Syndrome in the Chinese Han Population

Overview of attention for article published in Frontiers in endocrinology, May 2021
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1 X user

Citations

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Title
Association of Genetic Variants in IGF2-Related Genes With Risk of Metabolic Syndrome in the Chinese Han Population
Published in
Frontiers in endocrinology, May 2021
DOI 10.3389/fendo.2021.654747
Pubmed ID
Authors

Weiwei Gui, Julong Liang, Xihua Lin, Nanjing Shi, Yiyi Zhu, Bowen Tan, Hong 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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 15%
Unspecified 1 8%
Professor 1 8%
Student > Master 1 8%
Unknown 8 62%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 31%
Unspecified 1 8%
Nursing and Health Professions 1 8%
Medicine and Dentistry 1 8%
Unknown 6 46%
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 20 May 2021.
All research outputs
#23,487,873
of 26,163,973 outputs
Outputs from Frontiers in endocrinology
#8,673
of 13,370 outputs
Outputs of similar age
#397,106
of 461,671 outputs
Outputs of similar age from Frontiers in endocrinology
#281
of 458 outputs
Altmetric has tracked 26,163,973 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 13,370 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 461,671 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 458 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.