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FusionSeq: a modular framework for finding gene fusions by analyzing paired-end RNA-sequencing data

Overview of attention for article published in Genome Biology (Online Edition), October 2010
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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 (84th percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent
wikipedia
1 Wikipedia page
q&a
1 Q&A thread

Citations

dimensions_citation
125 Dimensions

Readers on

mendeley
183 Mendeley
citeulike
12 CiteULike
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Title
FusionSeq: a modular framework for finding gene fusions by analyzing paired-end RNA-sequencing data
Published in
Genome Biology (Online Edition), October 2010
DOI 10.1186/gb-2010-11-10-r104
Pubmed ID
Authors

Andrea Sboner, Lukas Habegger, Dorothee Pflueger, Stephane Terry, David Z Chen, Joel S Rozowsky, Ashutosh K Tewari, Naoki Kitabayashi, Benjamin J Moss, Mark S Chee, Francesca Demichelis, Mark A Rubin, Mark B Gerstein

Abstract

We have developed FusionSeq to identify fusion transcripts from paired-end RNA-sequencing. FusionSeq includes filters to remove spurious candidate fusions with artifacts, such as misalignment or random pairing of transcript fragments, and it ranks candidates according to several statistics. It also has a module to identify exact sequences at breakpoint junctions. FusionSeq detected known and novel fusions in a specially sequenced calibration data set, including eight cancers with and without known rearrangements.

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

Geographical breakdown

Country Count As %
United Kingdom 6 3%
United States 4 2%
Korea, Republic of 2 1%
Norway 2 1%
France 2 1%
Italy 1 <1%
Malaysia 1 <1%
Netherlands 1 <1%
Austria 1 <1%
Other 7 4%
Unknown 156 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 66 36%
Student > Ph. D. Student 45 25%
Student > Master 18 10%
Professor > Associate Professor 16 9%
Other 9 5%
Other 21 11%
Unknown 8 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 100 55%
Biochemistry, Genetics and Molecular Biology 39 21%
Computer Science 15 8%
Medicine and Dentistry 13 7%
Mathematics 2 1%
Other 3 2%
Unknown 11 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 11 November 2020.
All research outputs
#2,478,006
of 17,673,294 outputs
Outputs from Genome Biology (Online Edition)
#1,952
of 3,643 outputs
Outputs of similar age
#26,117
of 179,310 outputs
Outputs of similar age from Genome Biology (Online Edition)
#2
of 2 outputs
Altmetric has tracked 17,673,294 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,643 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 179,310 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 2 others from the same source and published within six weeks on either side of this one.