The data shown below were collected from the profiles of 157 X users who shared this research output. Click here to find out more about how the information was compiled.
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| Title |
A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease
|
|---|---|
| Published in |
Nature Medicine, July 2023
|
| DOI | 10.1038/s41591-023-02429-x |
| Pubmed ID | |
| Authors |
Aniruddh P. Patel, Minxian Wang, Yunfeng Ruan, Satoshi Koyama, Shoa L. Clarke, Xiong Yang, Catherine Tcheandjieu, Saaket Agrawal, Akl C. Fahed, Patrick T. Ellinor, Philip S. Tsao, Yan V. Sun, Kelly Cho, Peter W. F. Wilson, Themistocles L. Assimes, David A. van Heel, Adam S. Butterworth, Krishna G. Aragam, Pradeep Natarajan, Amit V. Khera |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 11% |
| Australia | 2 | 1% |
| Ireland | 1 | <1% |
| India | 1 | <1% |
| Poland | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 134 | 85% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 72 | 46% |
| Scientists | 62 | 39% |
| Practitioners (doctors, other healthcare professionals) | 16 | 10% |
| Science communicators (journalists, bloggers, editors) | 7 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 11 | 12% |
| Researcher | 10 | 11% |
| Student > Ph. D. Student | 9 | 10% |
| Student > Doctoral Student | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 12 | 13% |
| Unknown | 39 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 19% |
| Biochemistry, Genetics and Molecular Biology | 16 | 17% |
| Agricultural and Biological Sciences | 7 | 7% |
| Unspecified | 2 | 2% |
| Arts and Humanities | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 42 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 135. 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 01 September 2024.
All research outputs
#329,521
of 26,571,961 outputs
Outputs from Nature Medicine
#1,268
of 9,752 outputs
Outputs of similar age
#6,874
of 379,695 outputs
Outputs of similar age from Nature Medicine
#39
of 173 outputs
Altmetric has tracked 26,571,961 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,752 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 109.3. 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 379,695 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 98% of its contemporaries.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.