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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Are Myocardial Infarction–Associated Single-Nucleotide Polymorphisms Associated With Ischemic Stroke?
|
|---|---|
| Published in |
Stroke, February 2012
|
| DOI | 10.1161/strokeaha.111.632075 |
| Pubmed ID | |
| Authors |
Yu-Ching Cheng, Christopher D. Anderson, Silvia Bione, Keith Keene, Jane M. Maguire, Michael Nalls, Asif Rasheed, Marion Zeginigg, John Attia, Ross Baker, Simona Barlera, Alessandro Biffi, Ebony Bookman, Thomas G. Brott, Robert D. Brown, Fang Chen, Wei-Min Chen, Emilio Ciusani, John W. Cole, Lynelle Cortellini, John Danesh, Kimberly Doheny, Luigi Ferrucci, Maria Grazia Franzosi, Philippe Frossard, Karen L. Furie, Jonathan Golledge, Graeme J. Hankey, Dena Hernandez, Elizabeth G. Holliday, Fang-Chi Hsu, Jim Jannes, Ayeesha Kamal, Muhammad Saleem Khan, Steven J. Kittner, Simon A. Koblar, Martin Lewis, Lisa Lincz, Antonella Lisa, Mar Matarin, Pablo Moscato, Josyf C. Mychaleckyj, Eugenio A. Parati, Silvia Parolo, Elizabeth Pugh, Natalia S. Rost, Michael Schallert, Helena Schmidt, Rodney J. Scott, Jonathan W. Sturm, Sunaina Yadav, Moazzam Zaidi, Giorgio B. Boncoraglio, Christopher Royce Levi, James F. Meschia, Jonathan Rosand, Michele Sale, Danish Saleheen, Reinhold Schmidt, Pankaj Sharma, Bradford Worrall, Braxton D. Mitchell |
| Abstract |
Ischemic stroke (IS) shares many common risk factors with coronary artery disease (CAD). We hypothesized that genetic variants associated with myocardial infarction (MI) or CAD may be similarly involved in the etiology of IS. To test this hypothesis, we evaluated whether single-nucleotide polymorphisms (SNPs) at 11 different loci recently associated with MI or CAD through genome-wide association studies were associated with IS. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Italy | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 54 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 16% |
| Student > Ph. D. Student | 7 | 12% |
| Professor > Associate Professor | 5 | 9% |
| Student > Master | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Other | 16 | 28% |
| Unknown | 11 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 39% |
| Biochemistry, Genetics and Molecular Biology | 8 | 14% |
| Agricultural and Biological Sciences | 5 | 9% |
| Nursing and Health Professions | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 13 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 14 April 2012.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Stroke
#11,768
of 12,372 outputs
Outputs of similar age
#153,691
of 169,012 outputs
Outputs of similar age from Stroke
#93
of 145 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,372 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 169,012 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.