↓ Skip to main content

Integrated sequence and expression analysis of ovarian cancer structural variants underscores the importance of gene fusion regulation

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

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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
twitter
5 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
30 Mendeley
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
Integrated sequence and expression analysis of ovarian cancer structural variants underscores the importance of gene fusion regulation
Published in
BMC Medical Genomics, July 2015
DOI 10.1186/s12920-015-0118-9
Pubmed ID
Authors

Vinay K. Mittal, John F. McDonald

Abstract

Genomic rearrangements or structural variants (SVs) are one of the most common classes of mutations in cancer. An integrated DNA sequencing and transcriptional profiling (RNA sequence and microarray gene expression data) analysis was performed on six ovarian cancer patient samples. Matched sets of control (whole blood) samples from these same patients were used to distinguish cancer SVs of germline origin from those arising somatically in the cancer cell lineage. We detected 10,034 ovarian cancer SVs (5518 germline derived; 4516 somatically derived) at base-pair level resolution. Only 11 % of these variants were shown to have the potential to form gene fusions and, of these, less than 20 % were detected at the transcriptional level. Collectively our results are consistent with the view that gene fusions and other SVs can be significant factors in the onset and progression of ovarian cancer. The results further indicate that it may not only be the occurrence of these variants in cancer but their regulation that contributes to their biological and clinical significance.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
United States 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 27%
Researcher 5 17%
Professor > Associate Professor 4 13%
Student > Master 4 13%
Student > Bachelor 2 7%
Other 6 20%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 30%
Medicine and Dentistry 5 17%
Biochemistry, Genetics and Molecular Biology 5 17%
Computer Science 4 13%
Engineering 3 10%
Other 2 7%
Unknown 2 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 14 October 2015.
All research outputs
#1,432,828
of 12,378,687 outputs
Outputs from BMC Medical Genomics
#79
of 578 outputs
Outputs of similar age
#37,690
of 242,769 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 26 outputs
Altmetric has tracked 12,378,687 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 578 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 86% 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 242,769 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 84% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.