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Identification and characterization of alternative exon usage linked glioblastoma multiforme survival

Overview of attention for article published in BMC Medical Genomics, December 2012
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Citations

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Title
Identification and characterization of alternative exon usage linked glioblastoma multiforme survival
Published in
BMC Medical Genomics, December 2012
DOI 10.1186/1755-8794-5-59
Pubmed ID
Authors

Sadeque A, Serão NV, Southey BR, Delfino KR, Rodriguez-Zas SL

Abstract

Alternative exon usage (AEU) is an important component of gene regulation. Exon expression platforms allow the detection of associations between AEU and phenotypes such as cancer. Numerous studies have identified associations between gene expression and the brain cancer glioblastoma multiforme (GBM). The few consistent gene expression biomarkers of GBM that have been reported may be due to the limited consideration of AEU and the analytical approaches used. The objectives of this study were to develop a model that accounts for the variations in expression present between the exons within a gene and to identify AEU biomarkers of GBM survival.

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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 42%
Researcher 5 21%
Student > Doctoral Student 2 8%
Other 2 8%
Professor 1 4%
Other 2 8%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 29%
Biochemistry, Genetics and Molecular Biology 7 29%
Computer Science 4 17%
Linguistics 1 4%
Unspecified 1 4%
Other 1 4%
Unknown 3 13%

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 05 December 2012.
All research outputs
#3,073,015
of 4,507,280 outputs
Outputs from BMC Medical Genomics
#230
of 310 outputs
Outputs of similar age
#188,905
of 280,626 outputs
Outputs of similar age from BMC Medical Genomics
#15
of 18 outputs
Altmetric has tracked 4,507,280 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 310 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.