| Title |
Effects of dietary components on high-density lipoprotein measures in a cohort of 1,566 participants
|
|---|---|
| Published in |
Nutrition & Metabolism, September 2014
|
| DOI | 10.1186/1743-7075-11-44 |
| Pubmed ID | |
| Authors |
Daniel Seung Kim, Amber A Burt, Jane E Ranchalis, Leah E Jarvik, Jason F Eintracht, Clement E Furlong, Gail P Jarvik |
| Abstract |
Recent data suggest that an increased level of high-density lipoprotein cholesterol (HDL-C) is not causally protective against heart disease, shifting focus to other sub-phenotypes of HDL. Prior work on the effects of dietary intakes has focused largely on HDL-C. The goal of this study was to identify the dietary intakes that affect HDL-related measures: HDL-C, HDL-2, HDL-3, and apoA1 using data from a carotid artery disease case-control cohort. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 4 | 44% |
| United States | 2 | 22% |
| New Zealand | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 33% |
| Practitioners (doctors, other healthcare professionals) | 3 | 33% |
| Scientists | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 44 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 22% |
| Researcher | 9 | 20% |
| Student > Bachelor | 8 | 17% |
| Professor | 3 | 7% |
| Student > Postgraduate | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 26% |
| Agricultural and Biological Sciences | 8 | 17% |
| Nursing and Health Professions | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Social Sciences | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 11 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 09 May 2019.
All research outputs
#1,925,869
of 24,294,766 outputs
Outputs from Nutrition & Metabolism
#240
of 978 outputs
Outputs of similar age
#20,814
of 251,116 outputs
Outputs of similar age from Nutrition & Metabolism
#4
of 9 outputs
Altmetric has tracked 24,294,766 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 978 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has done well, scoring higher than 75% 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 251,116 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.