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Single-cell analysis of long non-coding RNAs in the developing human neocortex

Overview of attention for article published in Genome Biology, April 2016
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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 (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

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2 blogs
twitter
11 X users
wikipedia
3 Wikipedia pages

Citations

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295 Dimensions

Readers on

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455 Mendeley
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Title
Single-cell analysis of long non-coding RNAs in the developing human neocortex
Published in
Genome Biology, April 2016
DOI 10.1186/s13059-016-0932-1
Pubmed ID
Authors

Siyuan John Liu, Tomasz J. Nowakowski, Alex A. Pollen, Jan H. Lui, Max A. Horlbeck, Frank J. Attenello, Daniel He, Jonathan S. Weissman, Arnold R. Kriegstein, Aaron A. Diaz, Daniel A. Lim

Abstract

Long non-coding RNAs (lncRNAs) comprise a diverse class of transcripts that can regulate molecular and cellular processes in brain development and disease. LncRNAs exhibit cell type- and tissue-specific expression, but little is known about the expression and function of lncRNAs in the developing human brain. Furthermore, it has been unclear whether lncRNAs are highly expressed in subsets of cells within tissues, despite appearing lowly expressed in bulk populations. We use strand-specific RNA-seq to deeply profile lncRNAs from polyadenylated and total RNA obtained from human neocortex at different stages of development, and we apply this reference to analyze the transcriptomes of single cells. While lncRNAs are generally detected at low levels in bulk tissues, single-cell transcriptomics of hundreds of neocortex cells reveal that many lncRNAs are abundantly expressed in individual cells and are cell type-specific. Notably, LOC646329 is a lncRNA enriched in single radial glia cells but is detected at low abundance in tissues. CRISPRi knockdown of LOC646329 indicates that this lncRNA regulates cell proliferation. The discrete and abundant expression of lncRNAs among individual cells has important implications for both their biological function and utility for distinguishing neural cell types.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 455 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
Sweden 2 <1%
France 1 <1%
Turkey 1 <1%
Germany 1 <1%
China 1 <1%
Denmark 1 <1%
Japan 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 441 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 115 25%
Researcher 95 21%
Student > Master 46 10%
Student > Bachelor 41 9%
Student > Postgraduate 27 6%
Other 58 13%
Unknown 73 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 140 31%
Agricultural and Biological Sciences 108 24%
Neuroscience 57 13%
Medicine and Dentistry 20 4%
Computer Science 19 4%
Other 32 7%
Unknown 79 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 28 March 2022.
All research outputs
#1,657,865
of 24,003,070 outputs
Outputs from Genome Biology
#1,440
of 4,279 outputs
Outputs of similar age
#28,340
of 304,281 outputs
Outputs of similar age from Genome Biology
#36
of 77 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one has gotten more attention than average, scoring higher than 66% 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 304,281 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 90% of its contemporaries.
We're also able to compare this research output to 77 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 53% of its contemporaries.