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Oxford University Press

Dissecting the nascent human transcriptome by analysing the RNA content of transcription factories

Overview of attention for article published in Nucleic Acids Research, April 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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14 X users

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95 Mendeley
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2 CiteULike
Title
Dissecting the nascent human transcriptome by analysing the RNA content of transcription factories
Published in
Nucleic Acids Research, April 2015
DOI 10.1093/nar/gkv390
Pubmed ID
Authors

Maïwen Caudron-Herger, Peter R. Cook, Karsten Rippe, Argyris Papantonis

Abstract

While mapping total and poly-adenylated human transcriptomes has now become routine, characterizing nascent transcripts remains challenging, largely because nascent RNAs have such short half-lives. Here, we describe a simple, fast and cost-effective method to isolate RNA associated with transcription factories, the sites responsible for the majority of nuclear transcription. Following stimulation of human endothelial cells with the pro-inflammatory cytokine TNFα, we isolate and analyse the RNA content of factories by sequencing. Comparison with total, poly(A)(+) and chromatin RNA fractions reveals that sequencing of purified factory RNA maps the complete nascent transcriptome; it is rich in intronic unprocessed transcript, as well as long intergenic non-coding (lincRNAs) and enhancer-associated RNAs (eRNAs), micro-RNA precursors and repeat-derived RNAs. Hence, we verify that transcription factories produce most nascent RNA and confer a regulatory role via their association with a set of specifically-retained non-coding transcripts.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 2 2%
Spain 2 2%
Slovenia 1 1%
Brazil 1 1%
Sweden 1 1%
Denmark 1 1%
Unknown 85 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 26%
Researcher 20 21%
Student > Master 8 8%
Student > Bachelor 7 7%
Student > Doctoral Student 7 7%
Other 15 16%
Unknown 13 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 41%
Biochemistry, Genetics and Molecular Biology 34 36%
Computer Science 3 3%
Medicine and Dentistry 2 2%
Neuroscience 1 1%
Other 2 2%
Unknown 14 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 03 September 2021.
All research outputs
#4,460,870
of 26,374,136 outputs
Outputs from Nucleic Acids Research
#7,077
of 28,082 outputs
Outputs of similar age
#51,820
of 280,622 outputs
Outputs of similar age from Nucleic Acids Research
#90
of 363 outputs
Altmetric has tracked 26,374,136 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 28,082 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 74% 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 280,622 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 81% of its contemporaries.
We're also able to compare this research output to 363 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.