↓ Skip to main content

Cancer Gene Profiling

Overview of attention for book
Attention for Chapter 14: Transcriptome Sequencing for the Detection of Chimeric Transcripts.
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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
2 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
5 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.
Chapter title
Transcriptome Sequencing for the Detection of Chimeric Transcripts.
Chapter number 14
Book title
Cancer Gene Profiling
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3204-7_14
Pubmed ID
Book ISBNs
978-1-4939-3203-0, 978-1-4939-3204-7
Authors

Chu, Hsueh-Ting, Hsueh-Ting Chu

Editors

Robert Grützmann, Christian Pilarsky

Abstract

The occurrence of chimeric transcripts has been reported in many cancer cells and seen as potential biomarkers and therapeutic targets. Modern high-throughput sequencing technologies offer a way to investigate individual chimeric transcripts and the systematic information of associated gene expressions about underlying genome structural variations and genomic interactions. The detection methods of finding chimeric transcripts from massive amount of short read sequence data are discussed here. Both assembly-based and alignment-based methods are used for the investigation of chimeric transcripts.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Professor > Associate Professor 1 20%
Unknown 2 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 20%
Agricultural and Biological Sciences 1 20%
Unknown 3 60%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 December 2015.
All research outputs
#950,019
of 7,469,639 outputs
Outputs from Methods in molecular biology
#216
of 5,148 outputs
Outputs of similar age
#45,875
of 282,459 outputs
Outputs of similar age from Methods in molecular biology
#52
of 1,083 outputs
Altmetric has tracked 7,469,639 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,148 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done particularly well, scoring higher than 95% 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 282,459 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 83% of its contemporaries.
We're also able to compare this research output to 1,083 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 95% of its contemporaries.