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Attention Score in Context
| Title |
Genetic variations in circadian rhythm genes and susceptibility for myocardial infarction
|
|---|---|
| Published in |
Genetics and Molecular Biology, May 2018
|
| DOI | 10.1590/1678-4685-gmb-2017-0147 |
| Pubmed ID | |
| Authors |
Ivana Škrlec, Jakov Milic, Marija Heffer, Borut Peterlin, Jasenka Wagner |
| Abstract |
Disruption of endogenous circadian rhythms has been shown to increase the risk of developing myocardial infarction (MI), suggesting that circadian genes might play a role in determining disease susceptibility. We conducted a case-control study on 200 patients hospitalized due to MI and 200 healthy controls, investigating the association between MI and single nucleotide polymorphisms (SNPs) in four circadian genes (ARNTL, CLOCK, CRY2, and PER2). The variants of all four genes were chosen based on their previously reported association with cardiovascular risk factors, which have a major influence on the occurrence of myocardial infarction. Statistically significant differences, assessed through Chi-square analysis, were found in genotype distribution between cases and controls of the PER2 gene rs35333999 (p=0.024) and the CRY2 gene rs2292912 (p=0.028); the corresponding unadjusted odds ratios, also significant, were respectively OR=0.49 (95% CI 0.26-0.91) and OR=0.32 (95% CI 0.11-0.89). Our data suggest that genetic variability in the CRY2 and PER2 genes might be associated with myocardial infarction. |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 5 | 14% |
| Student > Master | 4 | 11% |
| Lecturer | 3 | 8% |
| Professor | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 8 | 22% |
| Unknown | 11 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 19% |
| Medicine and Dentistry | 7 | 19% |
| Neuroscience | 3 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Social Sciences | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 15 | 41% |
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 17 May 2018.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Genetics and Molecular Biology
#526
of 772 outputs
Outputs of similar age
#250,547
of 340,921 outputs
Outputs of similar age from Genetics and Molecular Biology
#7
of 15 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 772 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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