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Open-access synthetic spike-in mRNA-seq data for cancer gene fusions

Overview of attention for article published in BMC Genomics, January 2014
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
20 tweeters
patent
1 patent

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
1 CiteULike
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Title
Open-access synthetic spike-in mRNA-seq data for cancer gene fusions
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-824
Pubmed ID
Authors

Waibhav D Tembe, Stephanie JK Pond, Christophe Legendre, Han-Yu Chuang, Winnie S Liang, Nancy E Kim, Valerie Montel, Shukmei Wong, Timothy K McDaniel, David W Craig, John D Carpten

Abstract

Oncogenic fusion genes underlie the mechanism of several common cancers. Next-generation sequencing based RNA-seq analyses have revealed an increasing number of recurrent fusions in a variety of cancers. However, absence of a publicly available gene-fusion focused RNA-seq data impedes comparative assessment and collaborative development of novel gene fusions detection algorithms. We have generated nine synthetic poly-adenylated RNA transcripts that correspond to previously reported oncogenic gene fusions. These synthetic RNAs were spiked at known molarity over a wide range into total RNA prior to construction of next-generation sequencing mRNA libraries to generate RNA-seq data.

Twitter Demographics

The data shown below were collected from the profiles of 20 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Brazil 1 2%
Czechia 1 2%
New Zealand 1 2%
Denmark 1 2%
Unknown 43 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 37%
Researcher 14 29%
Student > Bachelor 5 10%
Other 3 6%
Student > Master 2 4%
Other 5 10%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 37%
Biochemistry, Genetics and Molecular Biology 11 22%
Engineering 4 8%
Medicine and Dentistry 4 8%
Computer Science 3 6%
Other 5 10%
Unknown 4 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 24 July 2019.
All research outputs
#775,230
of 15,488,719 outputs
Outputs from BMC Genomics
#178
of 8,741 outputs
Outputs of similar age
#12,257
of 211,844 outputs
Outputs of similar age from BMC Genomics
#1
of 11 outputs
Altmetric has tracked 15,488,719 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,741 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 97% 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 211,844 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 94% of its contemporaries.
We're also able to compare this research output to 11 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.