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Mendeley readers
Attention Score in Context
Title |
How do high glycemic load diets influence coronary heart disease?
|
---|---|
Published in |
Nutrition & Metabolism, March 2015
|
DOI | 10.1186/s12986-015-0001-x |
Pubmed ID | |
Authors |
Marc J Mathews, Leon Liebenberg, Edward H Mathews |
Abstract |
Diet has a significant relationship with the risk of coronary heart disease (CHD). Traditionally the effect of diet on CHD was measured with the biomarker for low-density lipoprotein (LDL) cholesterol. However, LDL is not the only or even the most important biomarker for CHD risk. A suitably integrated view of the mechanism by which diet influences the detailed CHD pathogenetic pathways is therefore needed in order to better understand CHD risk factors and help with better holistic CHD prevention and treatment decisions. |
X Demographics
The data shown below were collected from the profiles of 44 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 14% |
Spain | 4 | 9% |
South Africa | 1 | 2% |
Iceland | 1 | 2% |
Netherlands | 1 | 2% |
Mexico | 1 | 2% |
Venezuela, Bolivarian Republic of | 1 | 2% |
Australia | 1 | 2% |
New Zealand | 1 | 2% |
Other | 3 | 7% |
Unknown | 24 | 55% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 31 | 70% |
Practitioners (doctors, other healthcare professionals) | 8 | 18% |
Scientists | 5 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 1% |
Unknown | 90 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 21 | 23% |
Student > Bachelor | 13 | 14% |
Student > Postgraduate | 12 | 13% |
Student > Ph. D. Student | 9 | 10% |
Researcher | 8 | 9% |
Other | 14 | 15% |
Unknown | 14 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 19 | 21% |
Nursing and Health Professions | 13 | 14% |
Agricultural and Biological Sciences | 12 | 13% |
Biochemistry, Genetics and Molecular Biology | 5 | 5% |
Psychology | 4 | 4% |
Other | 15 | 16% |
Unknown | 23 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. 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 22 November 2023.
All research outputs
#882,345
of 25,373,627 outputs
Outputs from Nutrition & Metabolism
#141
of 1,014 outputs
Outputs of similar age
#11,007
of 274,044 outputs
Outputs of similar age from Nutrition & Metabolism
#3
of 11 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,014 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.7. This one has done well, scoring higher than 86% 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 274,044 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 95% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.