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Revealing cellular and molecular complexity of the central nervous system using single cell sequencing

Overview of attention for article published in Stem Cell Research & Therapy, September 2018
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Title
Revealing cellular and molecular complexity of the central nervous system using single cell sequencing
Published in
Stem Cell Research & Therapy, September 2018
DOI 10.1186/s13287-018-0985-z
Pubmed ID
Authors

Zhiwei Zeng, Nan Miao, Tao Sun

Abstract

The mammalian central nervous system (CNS) is one of the most complex systems, with thousands of cell types and subtypes with distinct and unique morphology and gene expression profiles. Based on classic histological methods and conventional cellular and molecular approaches, single cell sequencing is becoming a powerful tool to uncover the complexity of the CNS. In this review, we summarize the principle of single cell sequencing and highlight its use for studying the development of neural stem cells, neural progenitors, and distinct neurons. By revealing transcriptomes in each individual cell using single cell sequencing, we are now able to dissect the cellular heterogeneity of a hundred billion cells in the CNS and comprehensively investigate mechanisms of brain development and function at the cellular and molecular levels.

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The data shown below were collected from the profiles of 2 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 31%
Researcher 10 12%
Unspecified 6 7%
Student > Bachelor 5 6%
Student > Postgraduate 4 5%
Other 12 15%
Unknown 19 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 21%
Neuroscience 12 15%
Agricultural and Biological Sciences 9 11%
Unspecified 7 9%
Medicine and Dentistry 6 7%
Other 9 11%
Unknown 21 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 September 2018.
All research outputs
#18,649,291
of 23,103,436 outputs
Outputs from Stem Cell Research & Therapy
#1,752
of 2,439 outputs
Outputs of similar age
#259,374
of 337,955 outputs
Outputs of similar age from Stem Cell Research & Therapy
#40
of 58 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,439 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 337,955 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.