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Mendeley readers
Attention Score in Context
| Title |
Differences between Adiposity Indicators for Predicting All-Cause Mortality in a Representative Sample of United States Non-Elderly Adults
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0050428 |
| Pubmed ID | |
| Authors |
Henry S. Kahn, Kai McKeever Bullard, Lawrence E. Barker, Giuseppina Imperatore |
| Abstract |
Adiposity predicts health outcomes, but this relationship could depend on population characteristics and adiposity indicator employed. In a representative sample of 11,437 US adults (National Health and Nutrition Examination Survey, 1988-1994, ages 18-64) we estimated associations with all-cause mortality for body mass index (BMI) and four abdominal adiposity indicators (waist circumference [WC], waist-to-height ratio [WHtR], waist-to-hip ratio [WHR], and waist-to-thigh ratio [WTR]). In a fasting subsample we considered the lipid accumulation product (LAP; [WC enlargement*triglycerides]). |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 4% |
| France | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 53 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 16% |
| Student > Bachelor | 8 | 14% |
| Student > Master | 7 | 12% |
| Student > Ph. D. Student | 5 | 9% |
| Other | 4 | 7% |
| Other | 10 | 18% |
| Unknown | 14 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 30% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Sports and Recreations | 4 | 7% |
| Social Sciences | 3 | 5% |
| Nursing and Health Professions | 2 | 4% |
| Other | 8 | 14% |
| Unknown | 18 | 32% |
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 03 December 2012.
All research outputs
#20,174,175
of 22,687,320 outputs
Outputs from PLOS ONE
#172,807
of 193,653 outputs
Outputs of similar age
#245,324
of 276,634 outputs
Outputs of similar age from PLOS ONE
#3,904
of 4,722 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,653 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 1st percentile – i.e., 1% 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 276,634 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,722 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.