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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dietary cholesterol increases paraoxonase 1 enzyme activity
|
|---|---|
| Published in |
Journal of Lipid Research, August 2012
|
| DOI | 10.1194/jlr.p030601 |
| Pubmed ID | |
| Authors |
Daniel S. Kim, Amber A. Burt, Jane E. Ranchalis, Rebecca J. Richter, Julieann K. Marshall, Karen S. Nakayama, Ella R. Jarvik, Jason F. Eintracht, Elisabeth A. Rosenthal, Clement E. Furlong, Gail P. Jarvik |
| Abstract |
HDL-associated paraoxonase 1 (PON1) activity has been consistently associated with cardiovascular and other diseases. Vitamins C and E intake have previously been positively associated with PON1 in a subset of the Carotid Lesion Epidemiology and Risk (CLEAR) cohort. The goal of this study was to replicate these findings and determine whether other nutrient intake affected PON1 activity. To predict nutrient and mineral intake values, 1,402 subjects completed a standardized food frequency survey of their dietary habits over the past year. Stepwise regression was used to evaluate dietary and covariate effects on PON1 arylesterase activity. Five dietary components, cholesterol (P < 2.0 × 10(-16)), alcohol (P = 8.51 × 10(-8)), vitamin C (P = 7.97 × 10(-5)), iron (P = 0.0026), and folic acid (0.037) were independently predictive of PON1 activity. Dietary cholesterol was positively associated and predicted 5.5% of PON1 activity, second in variance explained. This study presents a novel finding of dietary cholesterol, iron, and folic acid predicting PON1 activity in humans and confirms prior reported associations, including that with vitamin C. Identifying and understanding environmental factors that affect PON1 activity is necessary to understand its role and that of HDL in human disease. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 3% |
| Unknown | 39 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 23% |
| Researcher | 8 | 20% |
| Student > Master | 6 | 15% |
| Student > Bachelor | 4 | 10% |
| Student > Doctoral Student | 2 | 5% |
| Other | 8 | 20% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 35% |
| Biochemistry, Genetics and Molecular Biology | 5 | 13% |
| Medicine and Dentistry | 5 | 13% |
| Nursing and Health Professions | 4 | 10% |
| Economics, Econometrics and Finance | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 7 | 18% |
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 17 August 2012.
All research outputs
#21,186,626
of 25,918,104 outputs
Outputs from Journal of Lipid Research
#4,597
of 4,933 outputs
Outputs of similar age
#150,963
of 189,353 outputs
Outputs of similar age from Journal of Lipid Research
#43
of 47 outputs
Altmetric has tracked 25,918,104 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,933 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. 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 189,353 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 47 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.