↓ Skip to main content

Genome wide analysis of novel copy number variations duplications/deletions of different epileptic patients in Saudi Arabia

Overview of attention for article published in BMC Genomics, January 2015
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
26 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
45 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genome wide analysis of novel copy number variations duplications/deletions of different epileptic patients in Saudi Arabia
Published in
BMC Genomics, January 2015
DOI 10.1186/1471-2164-16-s1-s10
Pubmed ID
Authors

Muhammad Imran Naseer, Muhammad Faheem, Adeel G Chaudhary, Taha A Kumosani, Maha Mohsin Al-Quaiti, Mohammed M Jan, Hasan Saleh Jamal, Mohammad H Al-Qahtani

Abstract

Epilepsy is genetically complex neurological disorder affecting millions of people of different age groups varying in its type and severity. Copy number variants (CNVs) are key players in the genetic etiology of numerous neurodevelopmental disorders and prior findings also revealed that chromosomal aberrations are more susceptible against the pathogenesis of epilepsy. Novel technologies, such as array comparative genomic hybridization (array-CGH), may help to uncover the pathogenic CNVs in patients with epilepsy. This study was carried out by high density whole genome array-CGH analysis with blood DNA samples from a cohort of 22 epilepsy patients to search for CNVs associated with epilepsy. Pathogenic rearrangements which include 6p12.1 microduplications in 5 patients covering a total region of 99.9kb and 7q32.3 microdeletions in 3 patients covering a total region of 63.9kb were detected. Two genes BMP5 and PODXL were located in the predicted duplicated and deleted regions respectively. Furthermore, these CNV findings were confirmed by qPCR. We have described, for the first time, several novel CNVs/genes implicated in epilepsy in the Saudi population. These findings enable us to better describe the genetic variations in epilepsy, and could provide a foundation for understanding the critical regions of the genome which might be involved in the development of epilepsy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 2%
South Africa 1 2%
Unknown 43 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 13%
Professor > Associate Professor 6 13%
Student > Doctoral Student 4 9%
Student > Bachelor 4 9%
Lecturer > Senior Lecturer 3 7%
Other 14 31%
Unknown 8 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 24%
Medicine and Dentistry 11 24%
Agricultural and Biological Sciences 6 13%
Neuroscience 3 7%
Arts and Humanities 1 2%
Other 2 4%
Unknown 11 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 October 2019.
All research outputs
#1,090,868
of 24,770,025 outputs
Outputs from BMC Genomics
#161
of 11,063 outputs
Outputs of similar age
#16,025
of 391,049 outputs
Outputs of similar age from BMC Genomics
#4
of 280 outputs
Altmetric has tracked 24,770,025 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,063 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 98% 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 391,049 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 280 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 98% of its contemporaries.