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Evidence for Transcript Networks Composed of Chimeric RNAs in Human Cells

Overview of attention for article published in PLOS ONE, January 2012
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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7 X users
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

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56 Dimensions

Readers on

mendeley
141 Mendeley
citeulike
5 CiteULike
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Title
Evidence for Transcript Networks Composed of Chimeric RNAs in Human Cells
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0028213
Pubmed ID
Authors

Sarah Djebali, Julien Lagarde, Philipp Kapranov, Vincent Lacroix, Christelle Borel, Jonathan M. Mudge, Cédric Howald, Sylvain Foissac, Catherine Ucla, Jacqueline Chrast, Paolo Ribeca, David Martin, Ryan R. Murray, Xinping Yang, Lila Ghamsari, Chenwei Lin, Ian Bell, Erica Dumais, Jorg Drenkow, Michael L. Tress, Josep Lluís Gelpí, Modesto Orozco, Alfonso Valencia, Nynke L. van Berkum, Bryan R. Lajoie, Marc Vidal, John Stamatoyannopoulos, Philippe Batut, Alex Dobin, Jennifer Harrow, Tim Hubbard, Job Dekker, Adam Frankish, Kourosh Salehi-Ashtiani, Alexandre Reymond, Stylianos E. Antonarakis, Roderic Guigó, Thomas R. Gingeras

Abstract

The classic organization of a gene structure has followed the Jacob and Monod bacterial gene model proposed more than 50 years ago. Since then, empirical determinations of the complexity of the transcriptomes found in yeast to human has blurred the definition and physical boundaries of genes. Using multiple analysis approaches we have characterized individual gene boundaries mapping on human chromosomes 21 and 22. Analyses of the locations of the 5' and 3' transcriptional termini of 492 protein coding genes revealed that for 85% of these genes the boundaries extend beyond the current annotated termini, most often connecting with exons of transcripts from other well annotated genes. The biological and evolutionary importance of these chimeric transcripts is underscored by (1) the non-random interconnections of genes involved, (2) the greater phylogenetic depth of the genes involved in many chimeric interactions, (3) the coordination of the expression of connected genes and (4) the close in vivo and three dimensional proximity of the genomic regions being transcribed and contributing to parts of the chimeric RNAs. The non-random nature of the connection of the genes involved suggest that chimeric transcripts should not be studied in isolation, but together, as an RNA network.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
France 3 2%
Spain 2 1%
Canada 2 1%
United Kingdom 1 <1%
Israel 1 <1%
Chile 1 <1%
Russia 1 <1%
Norway 1 <1%
Other 2 1%
Unknown 122 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 48 34%
Student > Ph. D. Student 34 24%
Student > Master 12 9%
Other 8 6%
Professor 6 4%
Other 21 15%
Unknown 12 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 60%
Biochemistry, Genetics and Molecular Biology 23 16%
Medicine and Dentistry 8 6%
Computer Science 6 4%
Physics and Astronomy 1 <1%
Other 3 2%
Unknown 15 11%
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 11 April 2024.
All research outputs
#4,226,203
of 25,388,177 outputs
Outputs from PLOS ONE
#52,003
of 220,738 outputs
Outputs of similar age
#33,100
of 250,397 outputs
Outputs of similar age from PLOS ONE
#560
of 3,051 outputs
Altmetric has tracked 25,388,177 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 220,738 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done well, scoring higher than 76% 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 250,397 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 86% of its contemporaries.
We're also able to compare this research output to 3,051 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.