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Identifying obesity indicators which best correlate with type 2 diabetes in a Chinese population

Overview of attention for article published in BMC Public Health, September 2012
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Identifying obesity indicators which best correlate with type 2 diabetes in a Chinese population
Published in
BMC Public Health, September 2012
DOI 10.1186/1471-2458-12-732
Pubmed ID
Authors

Zhong Xin, Chang Liu, Wen-Yan Niu, Jian-Ping Feng, Lei Zhao, Ya-Hong Ma, Lin Hua, Jin-Kui Yang

Abstract

Obesity has been shown to be a prognostic indicator of type 2 diabetes (T2D); however, the power of different obesity indicators in the detection of T2D remains controversial. This study evaluates the detecting power of body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHTR) for the presence of T2D in undiagnosed diabetics among the Chinese population.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Egypt 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 18%
Researcher 4 14%
Student > Ph. D. Student 4 14%
Student > Master 3 11%
Student > Doctoral Student 2 7%
Other 6 21%
Unknown 4 14%
Readers by discipline Count As %
Medicine and Dentistry 10 36%
Social Sciences 3 11%
Nursing and Health Professions 3 11%
Immunology and Microbiology 1 4%
Agricultural and Biological Sciences 1 4%
Other 4 14%
Unknown 6 21%

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 03 September 2012.
All research outputs
#7,141,300
of 12,372,633 outputs
Outputs from BMC Public Health
#5,660
of 8,418 outputs
Outputs of similar age
#63,358
of 126,788 outputs
Outputs of similar age from BMC Public Health
#60
of 101 outputs
Altmetric has tracked 12,372,633 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 29th percentile – i.e., 29% 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 126,788 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 101 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.