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Hypertriglyceridemic-waist phenotype predicts diabetes: a cohort study in Chinese urban adults

Overview of attention for article published in BMC Public Health, December 2012
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1 X user

Citations

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Title
Hypertriglyceridemic-waist phenotype predicts diabetes: a cohort study in Chinese urban adults
Published in
BMC Public Health, December 2012
DOI 10.1186/1471-2458-12-1081
Pubmed ID
Authors

Meilin Zhang, Yuxia Gao, Hong Chang, Xuan Wang, Dongmei Liu, Zongjian Zhu, Guowei Huang

Abstract

Hypertriglycedemic-waist (HTGW) phenotype is a simple and inexpensive screening parameter to identify people at increased risk for cardiovascular disease. We evaluated whether the HTGW phenotype predicts prediabetes and diabetes in Chinese urban adults.

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

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 17%
Student > Master 7 17%
Student > Bachelor 5 12%
Student > Postgraduate 4 10%
Other 4 10%
Other 7 17%
Unknown 8 19%
Readers by discipline Count As %
Medicine and Dentistry 14 33%
Nursing and Health Professions 5 12%
Environmental Science 2 5%
Engineering 2 5%
Social Sciences 2 5%
Other 6 14%
Unknown 11 26%
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 15 December 2012.
All research outputs
#18,323,689
of 22,689,790 outputs
Outputs from BMC Public Health
#12,769
of 14,764 outputs
Outputs of similar age
#216,625
of 279,020 outputs
Outputs of similar age from BMC Public Health
#252
of 283 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,764 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 6th percentile – i.e., 6% 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 279,020 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 283 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.