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X Demographics
Mendeley readers
Attention Score in Context
| Title |
How can waist circumference predict the body composition?
|
|---|---|
| Published in |
Diabetology & Metabolic Syndrome, January 2014
|
| DOI | 10.1186/1758-5996-6-11 |
| Pubmed ID | |
| Authors |
Yumi Matsushita, Toru Nakagawa, Michihiro Shinohara, Shuichiro Yamamoto, Yoshihiko Takahashi, Tetsuya Mizoue, Tetsuji Yokoyama, Mitsuhiko Noda |
| Abstract |
Waist circumference (WC) is used as a risk assessment for metabolic syndrome, diabetes, and cardiovascular disease (CVD). WC consists of visceral fat area (VFA), subcutaneous fat area (SFA), muscle, intramuscular fat, viscera, and bone. Each component of the WC may differ between the sexes and generations, even if they have the same WC. However, this has not been measured in an epidemiological study. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 30% |
| Student > Master | 4 | 15% |
| Student > Bachelor | 3 | 11% |
| Researcher | 3 | 11% |
| Student > Postgraduate | 2 | 7% |
| Other | 4 | 15% |
| Unknown | 3 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 33% |
| Sports and Recreations | 4 | 15% |
| Nursing and Health Professions | 3 | 11% |
| Agricultural and Biological Sciences | 3 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 4 | 15% |
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 06 March 2014.
All research outputs
#18,366,246
of 22,747,498 outputs
Outputs from Diabetology & Metabolic Syndrome
#462
of 661 outputs
Outputs of similar age
#230,350
of 308,145 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#10
of 17 outputs
Altmetric has tracked 22,747,498 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 661 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 15th percentile – i.e., 15% 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 308,145 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.