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New race and ethnicity standards: elucidating health disparities in diabetes

Overview of attention for article published in BMC Medicine, April 2012
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Title
New race and ethnicity standards: elucidating health disparities in diabetes
Published in
BMC Medicine, April 2012
DOI 10.1186/1741-7015-10-42
Pubmed ID
Authors

Peter T Katzmarzyk, Amanda E Staiano

Abstract

The concepts of race and ethnicity are useful for understanding the distribution of disease in the population and for identifying at-risk groups for prevention and treatment efforts. The U.S. Department of Health and Human Services recently updated the race and ethnicity classifications in order to more effectively monitor health disparities. Differences in chronic disease mortality rates are contributing to race and ethnic health disparities in life expectancy in the United States. The prevalence of diabetes is higher in African Americans and Hispanics compared to white Americans, and parallel trends are seen in diabetes risk factors, including physical inactivity, dietary patterns, and obesity. Further research is required to determine the extent to which the observed differences in diabetes prevalence are attributable to differences in lifestyle versus other characteristics across race and ethnic groups.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 26%
Student > Ph. D. Student 10 14%
Student > Bachelor 8 11%
Student > Doctoral Student 6 8%
Other 6 8%
Other 12 16%
Unknown 12 16%
Readers by discipline Count As %
Medicine and Dentistry 20 27%
Nursing and Health Professions 11 15%
Social Sciences 5 7%
Agricultural and Biological Sciences 4 5%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 12 16%
Unknown 18 25%
Attention Score in Context

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 June 2016.
All research outputs
#18,305,773
of 22,664,644 outputs
Outputs from BMC Medicine
#3,174
of 3,397 outputs
Outputs of similar age
#125,548
of 162,569 outputs
Outputs of similar age from BMC Medicine
#30
of 32 outputs
Altmetric has tracked 22,664,644 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 3,397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one is in the 3rd percentile – i.e., 3% 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 162,569 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 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.