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Association between genetic polymorphisms of cytochrome P450 2C19 and the risk of cerebral ischemic stroke in Chinese

Overview of attention for article published in BMC Medical Genetics, July 2014
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Mentioned by

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1 tweeter
facebook
1 Facebook page

Citations

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12 Dimensions

Readers on

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16 Mendeley
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Title
Association between genetic polymorphisms of cytochrome P450 2C19 and the risk of cerebral ischemic stroke in Chinese
Published in
BMC Medical Genetics, July 2014
DOI 10.1186/1471-2350-15-83
Pubmed ID
Authors

Shuzhen Gu, Yan Sun, Ruifa Han, Lin Wang, Dongliang Wang, Jizuo Wang, Xin Li

Abstract

Cytochrome P450 (CYP) 2C19 is a very important drug metabolizing enzyme. Although the single nucleotide polymorphisms (SNPs) of CYP2C19 G681A and G636A have been suggested that they may increase the incidence of cardiovascular events, the relationship between SNPs in CYP2C19 and cerebral ischemic stroke (CIS) are unclear. The aim of this study was to investigate the correlation between the distribution of G681A and G636A polymorphisms in CYP2C19 gene and the risk of CIS in Chinese.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Student > Master 3 19%
Student > Doctoral Student 3 19%
Researcher 1 6%
Lecturer 1 6%
Other 1 6%
Unknown 3 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 25%
Biochemistry, Genetics and Molecular Biology 3 19%
Medicine and Dentistry 3 19%
Pharmacology, Toxicology and Pharmaceutical Science 2 13%
Social Sciences 1 6%
Other 0 0%
Unknown 3 19%

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 22 April 2016.
All research outputs
#9,905,470
of 12,372,276 outputs
Outputs from BMC Medical Genetics
#471
of 729 outputs
Outputs of similar age
#138,221
of 206,200 outputs
Outputs of similar age from BMC Medical Genetics
#3
of 5 outputs
Altmetric has tracked 12,372,276 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 729 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 19th percentile – i.e., 19% 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 206,200 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.