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The rs17782313 polymorphism near MC4R gene confers a high risk of obesity and hyperglycemia, while PGC1α rs8192678 polymorphism is weakly correlated with glucometabolic disorder: a systematic review…

Overview of attention for article published in Frontiers in endocrinology, August 2023
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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4 X users

Citations

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1 Dimensions

Readers on

mendeley
12 Mendeley
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Title
The rs17782313 polymorphism near MC4R gene confers a high risk of obesity and hyperglycemia, while PGC1α rs8192678 polymorphism is weakly correlated with glucometabolic disorder: a systematic review and meta-analysis
Published in
Frontiers in endocrinology, August 2023
DOI 10.3389/fendo.2023.1210455
Pubmed ID
Authors

Youjin Zhang, Shiyun Li, Haiyan Nie, Xue Wang, Xuanxuan Li, Jinhui Wen, Mengxi Li, Yongyan Song

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 > Ph. D. Student 2 17%
Unspecified 1 8%
Researcher 1 8%
Student > Doctoral Student 1 8%
Lecturer > Senior Lecturer 1 8%
Other 0 0%
Unknown 6 50%
Readers by discipline Count As %
Medicine and Dentistry 3 25%
Unspecified 1 8%
Nursing and Health Professions 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Unknown 6 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 September 2023.
All research outputs
#16,608,224
of 26,180,352 outputs
Outputs from Frontiers in endocrinology
#4,160
of 13,379 outputs
Outputs of similar age
#179,999
of 365,288 outputs
Outputs of similar age from Frontiers in endocrinology
#151
of 738 outputs
Altmetric has tracked 26,180,352 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,379 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 66% of its peers.
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 365,288 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 738 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.