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Advancing epilepsy genetics in the genomic era

Overview of attention for article published in Genome Medicine, August 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

news
1 news outlet
twitter
12 X users

Citations

dimensions_citation
180 Dimensions

Readers on

mendeley
306 Mendeley
citeulike
2 CiteULike
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Title
Advancing epilepsy genetics in the genomic era
Published in
Genome Medicine, August 2015
DOI 10.1186/s13073-015-0214-7
Pubmed ID
Authors

Candace T. Myers, Heather C. Mefford

Abstract

Epilepsy is a group of disorders characterized by recurrent seizures, and is one of the most common neurological conditions. The genetic basis of epilepsy is clear from epidemiological studies and from rare gene discoveries in large families. The three major classes of epilepsy disorders are genetic generalized, focal and encephalopathic epilepsies, with several specific disorders within each class. Advances in genomic technologies that facilitate genome-wide discovery of both common and rare variants have led to a rapid increase in our understanding of epilepsy genetics. Copy number variant and genome-wide association studies have contributed to our understanding of the complex genetic architecture of generalized epilepsy, while genetic insights into the focal epilepsies and epileptic encephalopathies have come primarily from exome sequencing. It is increasingly clear that epilepsy is genetically heterogeneous, and novel gene discoveries have moved the field beyond the known contribution of ion channels to implicate chromatin remodeling, transcriptional regulation and regulation of the mammalian target of rapamycin (mTOR) protein in the etiology of epilepsy. Such discoveries pave the way for new therapeutics, some of which are already being studied. In this review, we discuss the rapid pace of gene discovery in epilepsy, as facilitated by genomic technologies, and highlight several novel genes and potential therapies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 306 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Unknown 305 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 14%
Student > Master 37 12%
Researcher 34 11%
Student > Bachelor 34 11%
Student > Doctoral Student 25 8%
Other 54 18%
Unknown 79 26%
Readers by discipline Count As %
Medicine and Dentistry 72 24%
Biochemistry, Genetics and Molecular Biology 54 18%
Agricultural and Biological Sciences 32 10%
Neuroscience 27 9%
Pharmacology, Toxicology and Pharmaceutical Science 9 3%
Other 21 7%
Unknown 91 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 07 January 2022.
All research outputs
#1,841,194
of 22,831,537 outputs
Outputs from Genome Medicine
#412
of 1,442 outputs
Outputs of similar age
#26,256
of 267,537 outputs
Outputs of similar age from Genome Medicine
#10
of 34 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,442 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one has gotten more attention than average, scoring higher than 71% 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 267,537 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 90% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.