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Single-cell mRNA isoform diversity in the mouse brain

Overview of attention for article published in BMC Genomics, February 2017
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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6 news outlets
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5 X users
patent
2 patents
facebook
1 Facebook page
googleplus
1 Google+ user
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1 research highlight platform

Citations

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54 Dimensions

Readers on

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154 Mendeley
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Title
Single-cell mRNA isoform diversity in the mouse brain
Published in
BMC Genomics, February 2017
DOI 10.1186/s12864-017-3528-6
Pubmed ID
Authors

Kasper Karlsson, Sten Linnarsson

Abstract

Alternative mRNA isoform usage is an important source of protein diversity in mammalian cells. This phenomenon has been extensively studied in bulk tissues, however, it remains unclear how this diversity is reflected in single cells. Here we use long-read sequencing technology combined with unique molecular identifiers (UMIs) to reveal patterns of alternative full-length isoform expression in single cells from the mouse brain. We found a surprising amount of isoform diversity, even after applying a conservative definition of what constitutes an isoform. Genes tend to have one or a few isoforms highly expressed and a larger number of isoforms expressed at a low level. However, for many genes, nearly every sequenced mRNA molecule was unique, and many events affected coding regions suggesting previously unknown protein diversity in single cells. Exon junctions in coding regions were less prone to splicing errors than those in non-coding regions, indicating purifying selection on splice donor and acceptor efficiency. Our findings indicate that mRNA isoform diversity is an important source of biological variability also in single cells.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
United States 1 <1%
Sweden 1 <1%
Unknown 151 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 32%
Researcher 28 18%
Student > Master 20 13%
Student > Bachelor 15 10%
Other 7 5%
Other 18 12%
Unknown 17 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 35%
Biochemistry, Genetics and Molecular Biology 49 32%
Computer Science 11 7%
Neuroscience 9 6%
Medicine and Dentistry 7 5%
Other 6 4%
Unknown 18 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 19 October 2022.
All research outputs
#719,887
of 23,549,388 outputs
Outputs from BMC Genomics
#86
of 10,789 outputs
Outputs of similar age
#17,109
of 423,429 outputs
Outputs of similar age from BMC Genomics
#5
of 224 outputs
Altmetric has tracked 23,549,388 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 10,789 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 99% 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 423,429 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 95% of its contemporaries.
We're also able to compare this research output to 224 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 97% of its contemporaries.