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Cross-sectional analysis of nutrition and serum uric acid in two Caucasian cohorts: the AusDiab Study and the Tromsø study

Overview of attention for article published in Nutrition Journal, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)

Mentioned by

13 tweeters
1 Facebook page


40 Dimensions

Readers on

171 Mendeley
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Cross-sectional analysis of nutrition and serum uric acid in two Caucasian cohorts: the AusDiab Study and the Tromsø study
Published in
Nutrition Journal, May 2015
DOI 10.1186/s12937-015-0032-1
Pubmed ID

Svetlana N Zykova, Hilde M Storhaug, Ingrid Toft, Steven J Chadban, Trond G Jenssen, Sarah L White


Hyperuricemia can lead to gout, and may be a risk factor for cardiovascular events, hypertension, diabetes and renal disease. There is well-known link between gout and habitual intake of meat and seafood, however the association between hyperuricemia and micro-and macro-nutrient intake has not been established. We studied associations between intakes of food categories, macro-and micronutrients and serum uric acid (SUA) levels in two cross-sectional surveys of Caucasian adults deriving from different food traditions: Australian Diabetes, Obesity and Lifestyle Study 1999/00 (n=9734, age 25-91) and Tromsø Study 4 1994/95 (n = 3032, age 25-69). Dietary intake was calculated from self-administered Food Frequency Questionnaires. In some analyses we stratified according to abdominal obesity status and gender. In both cohorts, lower levels of SUA were found in subjects with higher consumption of carbohydrates, calcium and vitamin B2, while higher fat intake was associated with higher SUA, after adjustment for age, body mass index, estimated glomerular filtration rate, physical activity, total energy intake, use of diuretics, presence of hypertension, diabetes and gout. Among individual food items, high consumption of dairy products, high-fibre bread, cereals and fruits were associated with lower SUA in most subject groups while consumption of meat, eggs, beer and spirits, but not wine, with elevated levels. Healthy food choices with high intake of carbohydrates, dairy products, fiber and micronutrient-rich foods, and limited intake of fat, beer and spirits, might be recommended to prevent high SUA. Dietary factors seem to have qualitatively similar impact on SUA in obese and non-obese men and women from Australia and Norway.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 170 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 15%
Student > Bachelor 25 15%
Student > Ph. D. Student 21 12%
Researcher 12 7%
Student > Postgraduate 12 7%
Other 28 16%
Unknown 47 27%
Readers by discipline Count As %
Medicine and Dentistry 45 26%
Nursing and Health Professions 19 11%
Biochemistry, Genetics and Molecular Biology 15 9%
Agricultural and Biological Sciences 10 6%
Social Sciences 5 3%
Other 21 12%
Unknown 56 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 26 March 2016.
All research outputs
of 22,803,211 outputs
Outputs from Nutrition Journal
of 1,427 outputs
Outputs of similar age
of 264,461 outputs
Outputs of similar age from Nutrition Journal
of 31 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,427 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.2. This one has gotten more attention than average, scoring higher than 56% of its peers.
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 264,461 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.