| 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 | 11 | 4% |
| Spain | 8 | 3% |
| Venezuela, Bolivarian Republic of | 7 | 2% |
| Netherlands | 6 | 2% |
| Finland | 6 | 2% |
| Japan | 4 | 1% |
| Other | 36 | 12% |
| Unknown | 100 | 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 548 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 548 | 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 | 31 | 6% |
| Other | 103 | 19% |
| Unknown | 137 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 116 | 21% |
| Medicine and Dentistry | 115 | 21% |
| Agricultural and Biological Sciences | 41 | 7% |
| Computer Science | 17 | 3% |
| Psychology | 12 | 2% |
| Other | 83 | 15% |
| Unknown | 164 | 30% |
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 09 January 2024.
All research outputs
#92,111
of 25,766,791 outputs
Outputs from JACC
#211
of 16,939 outputs
Outputs of similar age
#1,794
of 355,792 outputs
Outputs of similar age from JACC
#8
of 242 outputs
Altmetric has tracked 25,766,791 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 16,939 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 355,792 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.