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JAFFA: High sensitivity transcriptome-focused fusion gene detection

Overview of attention for article published in Genome Medicine, May 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
3 blogs
twitter
48 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page
q&a
1 Q&A thread

Citations

dimensions_citation
139 Dimensions

Readers on

mendeley
172 Mendeley
citeulike
4 CiteULike
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Title
JAFFA: High sensitivity transcriptome-focused fusion gene detection
Published in
Genome Medicine, May 2015
DOI 10.1186/s13073-015-0167-x
Pubmed ID
Authors

Nadia M Davidson, Ian J Majewski, Alicia Oshlack

Abstract

Genomic instability is a hallmark of cancer and, as such, structural alterations and fusion genes are common events in the cancer landscape. RNA sequencing (RNA-Seq) is a powerful method for profiling cancers, but current methods for identifying fusion genes are optimised for short reads. JAFFA (https://github.com/Oshlack/JAFFA/wiki) is a sensitive fusion detection method that outperforms other methods with reads of 100 bp or greater. JAFFA compares a cancer transcriptome to the reference transcriptome, rather than the genome, where the cancer transcriptome is inferred using long reads directly or by de novo assembling short reads.

X Demographics

X Demographics

The data shown below were collected from the profiles of 48 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 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Germany 3 2%
Norway 1 <1%
Korea, Republic of 1 <1%
Brazil 1 <1%
Indonesia 1 <1%
New Zealand 1 <1%
United Kingdom 1 <1%
Belgium 1 <1%
Other 1 <1%
Unknown 156 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 19%
Researcher 31 18%
Student > Master 24 14%
Student > Bachelor 16 9%
Student > Doctoral Student 10 6%
Other 23 13%
Unknown 35 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 31%
Biochemistry, Genetics and Molecular Biology 49 28%
Computer Science 14 8%
Medicine and Dentistry 10 6%
Engineering 2 1%
Other 5 3%
Unknown 39 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 28 September 2023.
All research outputs
#818,497
of 24,516,705 outputs
Outputs from Genome Medicine
#156
of 1,512 outputs
Outputs of similar age
#10,034
of 268,969 outputs
Outputs of similar age from Genome Medicine
#4
of 31 outputs
Altmetric has tracked 24,516,705 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,512 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. 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 268,969 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.