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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting waist circumference from body mass index
|
|---|---|
| Published in |
BMC Medical Research Methodology, August 2012
|
| DOI | 10.1186/1471-2288-12-115 |
| Pubmed ID | |
| Authors |
Samuel R Bozeman, David C Hoaglin, Tanya M Burton, Chris L Pashos, Rami H Ben-Joseph, Christopher S Hollenbeak |
| Abstract |
Being overweight or obese increases risk for cardiometabolic disorders. Although both body mass index (BMI) and waist circumference (WC) measure the level of overweight and obesity, WC may be more important because of its closer relationship to total body fat. Because WC is typically not assessed in clinical practice, this study sought to develop and verify a model to predict WC from BMI and demographic data, and to use the predicted WC to assess cardiometabolic risk. |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 2 | 40% |
| Norway | 1 | 20% |
| Australia | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Sweden | 1 | 1% |
| Nigeria | 1 | 1% |
| Unknown | 73 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 13% |
| Other | 8 | 10% |
| Student > Ph. D. Student | 8 | 10% |
| Researcher | 8 | 10% |
| Student > Master | 7 | 9% |
| Other | 24 | 31% |
| Unknown | 12 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 35% |
| Nursing and Health Professions | 6 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Sports and Recreations | 4 | 5% |
| Economics, Econometrics and Finance | 3 | 4% |
| Other | 18 | 23% |
| Unknown | 15 | 19% |
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 05 September 2012.
All research outputs
#15,351,826
of 25,654,806 outputs
Outputs from BMC Medical Research Methodology
#1,473
of 2,304 outputs
Outputs of similar age
#104,753
of 180,133 outputs
Outputs of similar age from BMC Medical Research Methodology
#15
of 33 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,304 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. 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 180,133 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.