You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Analyses of body composition charts among younger and older Chinese children and adolescents aged 5 to 18 years
|
---|---|
Published in |
BMC Public Health, October 2012
|
DOI | 10.1186/1471-2458-12-835 |
Pubmed ID | |
Authors |
Kai-Yu Xiong, Hui He, Yi-Ming Zhang, Guo-Xin Ni |
Abstract |
Childhood obesity has become a major public health problem in China. The objective of this study was to examine the effect of age and sex on the relationship between fat-free mass (FFM) and fat mass (FM), fat-free mass index (FFMI) and fat mass index (FMI) in Chinese children using body composition chart analysis, and to compare the changing pattern with Caucasian and Japanese counterparts. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 19% |
Student > Master | 7 | 16% |
Student > Doctoral Student | 5 | 12% |
Researcher | 4 | 9% |
Other | 3 | 7% |
Other | 4 | 9% |
Unknown | 12 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 16% |
Sports and Recreations | 4 | 9% |
Biochemistry, Genetics and Molecular Biology | 2 | 5% |
Psychology | 2 | 5% |
Nursing and Health Professions | 2 | 5% |
Other | 10 | 23% |
Unknown | 16 | 37% |
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 01 October 2012.
All research outputs
#18,316,001
of 22,679,690 outputs
Outputs from BMC Public Health
#12,763
of 14,759 outputs
Outputs of similar age
#130,607
of 172,125 outputs
Outputs of similar age from BMC Public Health
#250
of 292 outputs
Altmetric has tracked 22,679,690 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 14,759 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 172,125 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 292 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.