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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 (Online Edition), 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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
2 blogs
twitter
13 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
176 Dimensions

Readers on

mendeley
348 Mendeley
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Title
Single-cell analysis of long non-coding RNAs in the developing human neocortex
Published in
Genome Biology (Online Edition), 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.

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 348 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%
Denmark 1 <1%
Turkey 1 <1%
France 1 <1%
China 1 <1%
Japan 1 <1%
Germany 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 334 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 100 29%
Researcher 81 23%
Student > Master 36 10%
Student > Bachelor 34 10%
Student > Postgraduate 24 7%
Other 45 13%
Unknown 28 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 113 32%
Agricultural and Biological Sciences 99 28%
Neuroscience 46 13%
Computer Science 16 5%
Medicine and Dentistry 13 4%
Other 28 8%
Unknown 33 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 14 September 2016.
All research outputs
#630,008
of 12,378,687 outputs
Outputs from Genome Biology (Online Edition)
#691
of 2,806 outputs
Outputs of similar age
#22,261
of 276,329 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 5 outputs
Altmetric has tracked 12,378,687 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.7. This one has done well, scoring higher than 75% 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 276,329 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 91% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them