Title |
Prevalence of the metabolic syndrome among children from six cities of China
|
---|---|
Published in |
BMC Public Health, January 2012
|
DOI | 10.1186/1471-2458-12-13 |
Pubmed ID | |
Authors |
Haiquan Xu, Yanping Li, Ailing Liu, Qian Zhang, Xiaoqi Hu, Hongyun Fang, Tingyu Li, Hongwei Guo, Ying Li, Guifa Xu, Jun Ma, Lin Du, Guansheng Ma |
Abstract |
Metabolic syndrome (MetS) in childhood can increase the risk of cardiovascular disease, diabetes mellitus and dyslipidemia in adulthood, which is of increasing concern in transitional and advanced economies. The aim of the current study was to explore the prevalence of MetS among children from six cities of China. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ecuador | 1 | 2% |
Unknown | 52 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 21% |
Student > Bachelor | 7 | 13% |
Student > Master | 7 | 13% |
Student > Ph. D. Student | 6 | 11% |
Student > Postgraduate | 2 | 4% |
Other | 4 | 8% |
Unknown | 16 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 14 | 26% |
Nursing and Health Professions | 9 | 17% |
Agricultural and Biological Sciences | 4 | 8% |
Environmental Science | 2 | 4% |
Social Sciences | 2 | 4% |
Other | 5 | 9% |
Unknown | 17 | 32% |
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 20 April 2012.
All research outputs
#13,863,046
of 22,661,413 outputs
Outputs from BMC Public Health
#9,977
of 14,741 outputs
Outputs of similar age
#149,524
of 241,635 outputs
Outputs of similar age from BMC Public Health
#114
of 199 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,741 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 30th percentile – i.e., 30% 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 241,635 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 199 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.