| Title |
Can body mass index, waist circumference, waist-hip ratio and waist-height ratio predict the presence of multiple metabolic risk factors in Chinese subjects?
|
|---|---|
| Published in |
BMC Public Health, January 2011
|
| DOI | 10.1186/1471-2458-11-35 |
| Pubmed ID | |
| Authors |
Yong Liu, Guanghui Tong, Weiwei Tong, Liping Lu, Xiaosong Qin |
| Abstract |
Obesity is associated with metabolic risk factors. Body mass index (BMI), waist circumference, waist-hip ratio (WHR) and waist-height ratio (WHtR) are used to predict the risk of obesity related diseases. However, it has not been examined whether these four indicators can detect the clustering of metabolic risk factors in Chinese subjects. |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| India | 1 | <1% |
| Taiwan | 1 | <1% |
| Unknown | 141 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 28 | 19% |
| Student > Master | 23 | 16% |
| Researcher | 14 | 10% |
| Student > Ph. D. Student | 13 | 9% |
| Student > Postgraduate | 10 | 7% |
| Other | 30 | 21% |
| Unknown | 26 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 45 | 31% |
| Nursing and Health Professions | 14 | 10% |
| Agricultural and Biological Sciences | 10 | 7% |
| Social Sciences | 8 | 6% |
| Biochemistry, Genetics and Molecular Biology | 7 | 5% |
| Other | 21 | 15% |
| Unknown | 39 | 27% |
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 21 February 2011.
All research outputs
#20,142,242
of 22,647,730 outputs
Outputs from BMC Public Health
#13,772
of 14,727 outputs
Outputs of similar age
#170,397
of 180,944 outputs
Outputs of similar age from BMC Public Health
#117
of 121 outputs
Altmetric has tracked 22,647,730 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,727 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 1st percentile – i.e., 1% 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 180,944 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 121 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.