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Targeted RNA sequencing reveals the deep complexity of the human transcriptome

Overview of attention for article published in Nature Biotechnology, November 2011
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
blogs
4 blogs
twitter
15 X users
patent
5 patents
facebook
1 Facebook page

Citations

dimensions_citation
414 Dimensions

Readers on

mendeley
911 Mendeley
citeulike
19 CiteULike
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Title
Targeted RNA sequencing reveals the deep complexity of the human transcriptome
Published in
Nature Biotechnology, November 2011
DOI 10.1038/nbt.2024
Pubmed ID
Authors

Tim R Mercer, Daniel J Gerhardt, Marcel E Dinger, Joanna Crawford, Cole Trapnell, Jeffrey A Jeddeloh, John S Mattick, John L Rinn

Abstract

Transcriptomic analyses have revealed an unexpected complexity to the human transcriptome, whose breadth and depth exceeds current RNA sequencing capability. Using tiling arrays to target and sequence select portions of the transcriptome, we identify and characterize unannotated transcripts whose rare or transient expression is below the detection limits of conventional sequencing approaches. We use the unprecedented depth of coverage afforded by this technique to reach the deepest limits of the human transcriptome, exposing widespread, regulated and remarkably complex noncoding transcription in intergenic regions, as well as unannotated exons and splicing patterns in even intensively studied protein-coding loci such as p53 and HOX. The data also show that intermittent sequenced reads observed in conventional RNA sequencing data sets, previously dismissed as noise, are in fact indicative of unassembled rare transcripts. Collectively, these results reveal the range, depth and complexity of a human transcriptome that is far from fully characterized.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 911 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 31 3%
United Kingdom 8 <1%
Germany 6 <1%
Denmark 5 <1%
France 4 <1%
Australia 4 <1%
Italy 4 <1%
Netherlands 3 <1%
China 2 <1%
Other 19 2%
Unknown 825 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 264 29%
Student > Ph. D. Student 224 25%
Student > Master 83 9%
Professor > Associate Professor 52 6%
Other 45 5%
Other 162 18%
Unknown 81 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 477 52%
Biochemistry, Genetics and Molecular Biology 207 23%
Medicine and Dentistry 46 5%
Computer Science 18 2%
Immunology and Microbiology 15 2%
Other 48 5%
Unknown 100 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 55. 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 07 February 2024.
All research outputs
#774,042
of 25,377,790 outputs
Outputs from Nature Biotechnology
#1,545
of 8,552 outputs
Outputs of similar age
#3,013
of 153,791 outputs
Outputs of similar age from Nature Biotechnology
#5
of 85 outputs
Altmetric has tracked 25,377,790 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 8,552 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.2. This one has done well, scoring higher than 81% 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 153,791 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 98% of its contemporaries.
We're also able to compare this research output to 85 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.