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Attention Score in Context
Title |
Genetic Heritability of Ischemic Stroke and the Contribution of Previously Reported Candidate Gene and Genomewide Associations
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Published in |
Stroke, October 2012
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DOI | 10.1161/strokeaha.112.665760 |
Pubmed ID | |
Authors |
Steve Bevan, Matthew Traylor, Poneh Adib-Samii, Rainer Malik, Nicola L. M. Paul, Caroline Jackson, Martin Farrall, Peter M. Rothwell, Cathie Sudlow, Martin Dichgans, Hugh S. Markus |
Abstract |
The contribution of genetics to stroke risk, and whether this differs for different stroke subtypes, remainsuncertain. Genomewide complex trait analysis allows heritability to be assessed from genomewide association study (GWAS) data. Previous candidate gene studies have identified many associations with stoke but whether these are important requires replication in large independent data sets. GWAS data sets provide a powerful resource to perform replication studies. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 20% |
United Kingdom | 1 | 20% |
United States | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Scientists | 1 | 20% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | <1% |
United States | 2 | <1% |
Australia | 1 | <1% |
Italy | 1 | <1% |
Japan | 1 | <1% |
Hong Kong | 1 | <1% |
Unknown | 229 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 46 | 19% |
Student > Ph. D. Student | 38 | 16% |
Student > Master | 32 | 14% |
Student > Bachelor | 21 | 9% |
Student > Postgraduate | 20 | 8% |
Other | 38 | 16% |
Unknown | 42 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 72 | 30% |
Biochemistry, Genetics and Molecular Biology | 35 | 15% |
Agricultural and Biological Sciences | 29 | 12% |
Neuroscience | 16 | 7% |
Nursing and Health Professions | 7 | 3% |
Other | 29 | 12% |
Unknown | 49 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 November 2023.
All research outputs
#1,351,146
of 25,373,627 outputs
Outputs from Stroke
#1,269
of 12,372 outputs
Outputs of similar age
#8,296
of 191,550 outputs
Outputs of similar age from Stroke
#7
of 146 outputs
Altmetric has tracked 25,373,627 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 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 has done well, scoring higher than 89% 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 191,550 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 95% of its contemporaries.
We're also able to compare this research output to 146 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 95% of its contemporaries.