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Exploration of the gene fusion landscape of glioblastoma using transcriptome sequencing and copy number data

Overview of attention for article published in BMC Genomics, November 2013
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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7 X users
patent
2 patents

Citations

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78 Dimensions

Readers on

mendeley
132 Mendeley
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1 CiteULike
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Title
Exploration of the gene fusion landscape of glioblastoma using transcriptome sequencing and copy number data
Published in
BMC Genomics, November 2013
DOI 10.1186/1471-2164-14-818
Pubmed ID
Authors

Nameeta Shah, Michael Lankerovich, Hwahyung Lee, Jae-Geun Yoon, Brett Schroeder, Greg Foltz

Abstract

RNA-seq has spurred important gene fusion discoveries in a number of different cancers, including lung, prostate, breast, brain, thyroid and bladder carcinomas. Gene fusion discovery can potentially lead to the development of novel treatments that target the underlying genetic abnormalities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Norway 1 <1%
Unknown 130 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 22%
Student > Ph. D. Student 27 20%
Student > Bachelor 15 11%
Student > Master 11 8%
Student > Doctoral Student 7 5%
Other 15 11%
Unknown 28 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 26%
Medicine and Dentistry 24 18%
Biochemistry, Genetics and Molecular Biology 20 15%
Computer Science 8 6%
Neuroscience 6 5%
Other 10 8%
Unknown 30 23%
Attention Score in Context

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 05 December 2018.
All research outputs
#3,526,523
of 25,373,627 outputs
Outputs from BMC Genomics
#1,196
of 11,244 outputs
Outputs of similar age
#38,733
of 315,300 outputs
Outputs of similar age from BMC Genomics
#22
of 212 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 89% 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 315,300 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 87% of its contemporaries.
We're also able to compare this research output to 212 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.