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X Demographics
Mendeley readers
Attention Score in Context
Title |
Genomic Risk Prediction of Coronary Artery Disease in 480,000 Adults Implications for Primary Prevention
|
---|---|
Published in |
JACC, October 2018
|
DOI | 10.1016/j.jacc.2018.07.079 |
Pubmed ID | |
Authors |
Michael Inouye, Gad Abraham, Christopher P. Nelson, Angela M. Wood, Michael J. Sweeting, Frank Dudbridge, Florence Y. Lai, Stephen Kaptoge, Marta Brozynska, Tingting Wang, Shu Ye, Thomas R. Webb, Martin K. Rutter, Ioanna Tzoulaki, Riyaz S. Patel, Ruth J.F. Loos, Bernard Keavney, Harry Hemingway, John Thompson, Hugh Watkins, Panos Deloukas, Emanuele Di Angelantonio, Adam S. Butterworth, John Danesh, Nilesh J. Samani, Biobank CardioMetabolic Consortium CHD Working Group |
X Demographics
The data shown below were collected from the profiles of 294 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 | 58 | 20% |
United Kingdom | 32 | 11% |
Australia | 26 | 9% |
Canada | 12 | 4% |
Spain | 8 | 3% |
Netherlands | 6 | 2% |
Venezuela, Bolivarian Republic of | 6 | 2% |
Finland | 5 | 2% |
Japan | 4 | 1% |
Other | 36 | 12% |
Unknown | 101 | 34% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 150 | 51% |
Scientists | 106 | 36% |
Practitioners (doctors, other healthcare professionals) | 27 | 9% |
Science communicators (journalists, bloggers, editors) | 11 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 550 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 550 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 94 | 17% |
Researcher | 91 | 17% |
Student > Master | 49 | 9% |
Student > Bachelor | 43 | 8% |
Student > Doctoral Student | 32 | 6% |
Other | 99 | 18% |
Unknown | 142 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 116 | 21% |
Medicine and Dentistry | 116 | 21% |
Agricultural and Biological Sciences | 41 | 7% |
Computer Science | 17 | 3% |
Psychology | 12 | 2% |
Other | 79 | 14% |
Unknown | 169 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 356. 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 03 May 2024.
All research outputs
#92,254
of 25,840,929 outputs
Outputs from JACC
#211
of 16,965 outputs
Outputs of similar age
#1,793
of 355,951 outputs
Outputs of similar age from JACC
#8
of 242 outputs
Altmetric has tracked 25,840,929 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,965 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.1. This one has done particularly well, scoring higher than 98% 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 355,951 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 99% of its contemporaries.
We're also able to compare this research output to 242 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 96% of its contemporaries.