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Title |
The genetic relationship between epilepsy and hemiplegic migraine
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Published in |
Neuropsychiatric Disease and Treatment, April 2017
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DOI | 10.2147/ndt.s132451 |
Pubmed ID | |
Authors |
Yiqing Huang, Hai Xiao, Xingyue Qin, Yuan Nong, Donghua Zou, Yuan Wu |
Abstract |
Epilepsy and migraine are common diseases of the nervous system and share genetic and pathophysiological mechanisms. Familial hemiplegic migraine is an autosomal dominant disease. It is often used as a model of migraine. Four genes often contain one or more mutations in both epilepsy and hemiplegic migraine patients (ie, CACNA1A, ATP1A2, SCN1A, and PRRT2). A better understanding of the shared genetics of epilepsy and hemiplegic migraine may reveal new strategic directions for research and treatment of both the disorders. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 3% |
Unknown | 35 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 6 | 17% |
Student > Postgraduate | 4 | 11% |
Researcher | 3 | 8% |
Student > Master | 3 | 8% |
Student > Doctoral Student | 2 | 6% |
Other | 7 | 19% |
Unknown | 11 | 31% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 11 | 31% |
Neuroscience | 4 | 11% |
Biochemistry, Genetics and Molecular Biology | 3 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
Computer Science | 1 | 3% |
Other | 2 | 6% |
Unknown | 13 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 29 September 2023.
All research outputs
#3,223,526
of 25,382,440 outputs
Outputs from Neuropsychiatric Disease and Treatment
#437
of 3,131 outputs
Outputs of similar age
#56,421
of 323,961 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#9
of 78 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,131 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 85% 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 323,961 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.