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Impact of methods used to express levels of circulating fatty acids on the degree and direction of associations with blood lipids in humans

Overview of attention for article published in British Journal of Nutrition, November 2015
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Title
Impact of methods used to express levels of circulating fatty acids on the degree and direction of associations with blood lipids in humans
Published in
British Journal of Nutrition, November 2015
DOI 10.1017/s0007114515004341
Pubmed ID
Authors

Susan Sergeant, Ingo Ruczinski, Priscilla Ivester, Tammy C. Lee, Timothy M. Morgan, Barbara J. Nicklas, Rasika A. Mathias, Floyd H. Chilton

Abstract

Numerous studies have examined relationships between disease biomarkers (such as blood lipids) and levels of circulating or cellular fatty acids. In such association studies, fatty acids have typically been expressed as the percentage of a particular fatty acid relative to the total fatty acids in a sample. Using two human cohorts, this study examined relationships between blood lipids (TAG, and LDL, HDL or total cholesterol) and circulating fatty acids expressed either as a percentage of total or as concentration in serum. The direction of the correlation between stearic acid, linoleic acid, dihomo-γ-linolenic acid, arachidonic acid and DHA and circulating TAG reversed when fatty acids were expressed as concentrations v. a percentage of total. Similar reversals were observed for these fatty acids when examining their associations with the ratio of total cholesterol:HDL-cholesterol. This reversal pattern was replicated in serum samples from both human cohorts. The correlations between blood lipids and fatty acids expressed as a percentage of total could be mathematically modelled from the concentration data. These data reveal that the different methods of expressing fatty acids lead to dissimilar correlations between blood lipids and certain fatty acids. This study raises important questions about how such reversals in association patterns impact the interpretation of numerous association studies evaluating fatty acids and their relationships with disease biomarkers or risk.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 20%
Student > Ph. D. Student 7 12%
Student > Bachelor 7 12%
Researcher 6 10%
Professor 3 5%
Other 12 20%
Unknown 12 20%
Readers by discipline Count As %
Medicine and Dentistry 11 19%
Biochemistry, Genetics and Molecular Biology 10 17%
Agricultural and Biological Sciences 6 10%
Nursing and Health Professions 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 9 15%
Unknown 16 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 August 2016.
All research outputs
#14,600,874
of 25,374,917 outputs
Outputs from British Journal of Nutrition
#4,313
of 6,275 outputs
Outputs of similar age
#190,345
of 395,377 outputs
Outputs of similar age from British Journal of Nutrition
#50
of 77 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,275 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.5. This one is in the 30th percentile – i.e., 30% 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 395,377 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.