| Title |
Genetic Risk Score for Coronary Disease Identifies Predispositions to Cardiovascular and Noncardiovascular Diseases
|
|---|---|
| Published in |
JACC, June 2019
|
| DOI | 10.1016/j.jacc.2019.03.512 |
| Pubmed ID | |
| Authors |
Ioanna Ntalla, Stavroula Kanoni, Lingyao Zeng, Olga Giannakopoulou, John Danesh, Hugh Watkins, Nilesh J. Samani, Panos Deloukas, Heribert Schunkert, Biobank CardioMetabolic Consortium CHD Working Group |
X Demographics
The data shown below were collected from the profiles of 32 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 | 8 | 25% |
| United Kingdom | 3 | 9% |
| Spain | 2 | 6% |
| Venezuela, Bolivarian Republic of | 1 | 3% |
| Philippines | 1 | 3% |
| Germany | 1 | 3% |
| Australia | 1 | 3% |
| Unknown | 15 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 66% |
| Practitioners (doctors, other healthcare professionals) | 5 | 16% |
| Scientists | 4 | 13% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 13% |
| Student > Ph. D. Student | 13 | 12% |
| Student > Bachelor | 13 | 12% |
| Researcher | 12 | 11% |
| Student > Postgraduate | 7 | 6% |
| Other | 20 | 18% |
| Unknown | 33 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 33% |
| Biochemistry, Genetics and Molecular Biology | 17 | 15% |
| Nursing and Health Professions | 5 | 4% |
| Mathematics | 2 | 2% |
| Social Sciences | 2 | 2% |
| Other | 10 | 9% |
| Unknown | 39 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 July 2019.
All research outputs
#1,189,441
of 26,017,215 outputs
Outputs from JACC
#2,874
of 17,045 outputs
Outputs of similar age
#25,789
of 367,647 outputs
Outputs of similar age from JACC
#91
of 216 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,045 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one has done well, scoring higher than 82% 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 367,647 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 92% of its contemporaries.
We're also able to compare this research output to 216 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 57% of its contemporaries.