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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
Ahmed Sadeque, Nicola VL Serão, Bruce R Southey, Kristin R Delfino, Sandra L Rodriguez-Zas |
| 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 3% |
| Unknown | 28 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 34% |
| Researcher | 5 | 17% |
| Student > Doctoral Student | 3 | 10% |
| Other | 2 | 7% |
| Professor | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 24% |
| Agricultural and Biological Sciences | 7 | 24% |
| Computer Science | 4 | 14% |
| Medicine and Dentistry | 2 | 7% |
| Linguistics | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 8 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 04 October 2023.
All research outputs
#7,676,433
of 24,657,405 outputs
Outputs from BMC Medical Genomics
#354
of 1,341 outputs
Outputs of similar age
#77,765
of 287,790 outputs
Outputs of similar age from BMC Medical Genomics
#8
of 18 outputs
Altmetric has tracked 24,657,405 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,341 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 72% 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 287,790 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
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 has gotten more attention than average, scoring higher than 61% of its contemporaries.