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Attention Score in Context
Title |
Prevalence of metabolic syndrome in a cohort of Chinese schoolchildren: comparison of two definitions and assessment of adipokines as components by factor analysis
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Published in |
BMC Public Health, March 2013
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DOI | 10.1186/1471-2458-13-249 |
Pubmed ID | |
Authors |
Qiaoxuan Wang, Jinhua Yin, Lu Xu, Hong Cheng, Xiaoyuan Zhao, Hongding Xiang, Hugh Simon Lam, Jie Mi, Ming Li |
Abstract |
Although attention to metabolic syndrome (MetS) in children has increased, there is still no universally accepted definition and its pathogenesis remains unclear. Our aim was to compare the current definitions of childhood MetS in a Chinese cohort and to examine the clustering pattern of MetS risk factors, particularly inclusion of leptin and adiponectin as additional components. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Unknown | 79 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 13 | 16% |
Student > Bachelor | 13 | 16% |
Student > Doctoral Student | 12 | 15% |
Researcher | 6 | 7% |
Student > Ph. D. Student | 6 | 7% |
Other | 15 | 19% |
Unknown | 16 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 30 | 37% |
Nursing and Health Professions | 9 | 11% |
Biochemistry, Genetics and Molecular Biology | 5 | 6% |
Agricultural and Biological Sciences | 5 | 6% |
Sports and Recreations | 3 | 4% |
Other | 6 | 7% |
Unknown | 23 | 28% |
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 26 March 2013.
All research outputs
#13,380,136
of 22,701,287 outputs
Outputs from BMC Public Health
#9,481
of 14,776 outputs
Outputs of similar age
#105,665
of 197,559 outputs
Outputs of similar age from BMC Public Health
#199
of 309 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,776 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 33rd percentile – i.e., 33% 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 197,559 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 309 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.