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Human splicing diversity and the extent of unannotated splice junctions across human RNA-seq samples on the Sequence Read Archive

Overview of attention for article published in Genome Biology, December 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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3 blogs
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104 X users
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1 Google+ user

Citations

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98 Dimensions

Readers on

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150 Mendeley
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3 CiteULike
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Title
Human splicing diversity and the extent of unannotated splice junctions across human RNA-seq samples on the Sequence Read Archive
Published in
Genome Biology, December 2016
DOI 10.1186/s13059-016-1118-6
Pubmed ID
Authors

Abhinav Nellore, Andrew E. Jaffe, Jean-Philippe Fortin, José Alquicira-Hernández, Leonardo Collado-Torres, Siruo Wang, Robert A. Phillips III, Nishika Karbhari, Kasper D. Hansen, Ben Langmead, Jeffrey T. Leek

Abstract

Gene annotations, such as those in GENCODE, are derived primarily from alignments of spliced cDNA sequences and protein sequences. The impact of RNA-seq data on annotation has been confined to major projects like ENCODE and Illumina Body Map 2.0. We aligned 21,504 Illumina-sequenced human RNA-seq samples from the Sequence Read Archive (SRA) to the human genome and compared detected exon-exon junctions with junctions in several recent gene annotations. We found 56,861 junctions (18.6%) in at least 1000 samples that were not annotated, and their expression associated with tissue type. Junctions well expressed in individual samples tended to be annotated. Newer samples contributed few novel well-supported junctions, with the vast majority of detected junctions present in samples before 2013. We compiled junction data into a resource called intropolis available at http://intropolis.rail.bio . We used this resource to search for a recently validated isoform of the ALK gene and characterized the potential functional implications of unannotated junctions with publicly available TRAP-seq data. Considering only the variation contained in annotation may suffice if an investigator is interested only in well-expressed transcript isoforms. However, genes that are not generally well expressed and nonetheless present in a small but significant number of samples in the SRA are likelier to be incompletely annotated. The rate at which evidence for novel junctions has been added to the SRA has tapered dramatically, even to the point of an asymptote. Now is perhaps an appropriate time to update incomplete annotations to include splicing present in the now-stable snapshot provided by the SRA.

X Demographics

X Demographics

The data shown below were collected from the profiles of 104 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 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Finland 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
Unknown 143 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 25%
Student > Ph. D. Student 26 17%
Student > Master 13 9%
Student > Bachelor 11 7%
Student > Postgraduate 9 6%
Other 30 20%
Unknown 23 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 33%
Biochemistry, Genetics and Molecular Biology 45 30%
Computer Science 11 7%
Immunology and Microbiology 4 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Other 10 7%
Unknown 28 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 74. 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 25 September 2021.
All research outputs
#579,420
of 25,373,627 outputs
Outputs from Genome Biology
#345
of 4,467 outputs
Outputs of similar age
#12,214
of 422,809 outputs
Outputs of similar age from Genome Biology
#13
of 64 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 92% 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 422,809 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 97% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.