Title |
Nonfasting Glucose, Ischemic Heart Disease, and Myocardial Infarction A Mendelian Randomization Study
|
---|---|
Published in |
JACC, June 2012
|
DOI | 10.1016/j.jacc.2012.02.043 |
Pubmed ID | |
Authors |
Marianne Benn, Anne Tybjærg-Hansen, Mark I. McCarthy, Gorm B. Jensen, Peer Grande, Børge G. Nordestgaard |
Abstract |
The purpose of this study was to test whether elevated nonfasting glucose levels associate with and cause ischemic heart disease (IHD) and myocardial infarction (MI). |
X Demographics
The data shown below were collected from the profiles of 74 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 | 10 | 14% |
United Kingdom | 8 | 11% |
Australia | 4 | 5% |
Canada | 4 | 5% |
Saudi Arabia | 3 | 4% |
Mexico | 2 | 3% |
Curaçao | 2 | 3% |
Virgin Islands, U.S. | 1 | 1% |
South Africa | 1 | 1% |
Other | 6 | 8% |
Unknown | 33 | 45% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 55 | 74% |
Practitioners (doctors, other healthcare professionals) | 14 | 19% |
Scientists | 5 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
India | 1 | 1% |
Canada | 1 | 1% |
Unknown | 72 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 21% |
Researcher | 13 | 17% |
Student > Master | 9 | 12% |
Student > Postgraduate | 8 | 11% |
Student > Bachelor | 6 | 8% |
Other | 11 | 15% |
Unknown | 12 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 33 | 44% |
Agricultural and Biological Sciences | 10 | 13% |
Biochemistry, Genetics and Molecular Biology | 8 | 11% |
Mathematics | 3 | 4% |
Chemistry | 2 | 3% |
Other | 5 | 7% |
Unknown | 14 | 19% |
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 17 April 2019.
All research outputs
#912,891
of 25,923,151 outputs
Outputs from JACC
#2,261
of 17,008 outputs
Outputs of similar age
#4,605
of 179,999 outputs
Outputs of similar age from JACC
#3
of 111 outputs
Altmetric has tracked 25,923,151 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 17,008 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. 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 179,999 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 97% of its contemporaries.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.