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Associations Between Different Dietary Vitamins and the Risk of Obesity in Children and Adolescents: A Machine Learning Approach

Overview of attention for article published in Frontiers in endocrinology, February 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
6 X users

Citations

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14 Dimensions

Readers on

mendeley
41 Mendeley
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Title
Associations Between Different Dietary Vitamins and the Risk of Obesity in Children and Adolescents: A Machine Learning Approach
Published in
Frontiers in endocrinology, February 2022
DOI 10.3389/fendo.2021.816975
Pubmed ID
Authors

Weifeng Tang, Wenqiang Zhan, Mengdan Wei, Qian Chen

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 7%
Other 2 5%
Student > Bachelor 2 5%
Student > Postgraduate 2 5%
Student > Master 1 2%
Other 2 5%
Unknown 29 71%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 10%
Medicine and Dentistry 3 7%
Veterinary Science and Veterinary Medicine 1 2%
Computer Science 1 2%
Business, Management and Accounting 1 2%
Other 0 0%
Unknown 31 76%
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 17 February 2022.
All research outputs
#15,689,414
of 26,166,431 outputs
Outputs from Frontiers in endocrinology
#3,544
of 13,370 outputs
Outputs of similar age
#215,195
of 454,608 outputs
Outputs of similar age from Frontiers in endocrinology
#180
of 684 outputs
Altmetric has tracked 26,166,431 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% 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 has gotten more attention than average, scoring higher than 72% 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 454,608 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 684 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.