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Data-driven classification of prediabetes using cardiometabolic biomarkers: Data from National Health and Nutrition Examination Survey 2007–2016

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

  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
17 Mendeley
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Title
Data-driven classification of prediabetes using cardiometabolic biomarkers: Data from National Health and Nutrition Examination Survey 2007–2016
Published in
Frontiers in endocrinology, August 2022
DOI 10.3389/fendo.2022.937942
Pubmed ID
Authors

Yan Jiang, Jinying Xia, Caiyan Che, Yongning Wei

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 12%
Professor > Associate Professor 1 6%
Researcher 1 6%
Student > Master 1 6%
Unknown 12 71%
Readers by discipline Count As %
Medicine and Dentistry 2 12%
Biochemistry, Genetics and Molecular Biology 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unknown 13 76%
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 10 September 2022.
All research outputs
#20,584,140
of 26,169,168 outputs
Outputs from Frontiers in endocrinology
#6,000
of 13,372 outputs
Outputs of similar age
#305,335
of 434,822 outputs
Outputs of similar age from Frontiers in endocrinology
#415
of 1,013 outputs
Altmetric has tracked 26,169,168 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,372 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 47th percentile – i.e., 47% 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 434,822 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,013 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 53% of its contemporaries.