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Mechanisms of Long Non-Coding RNAs in the Assembly and Plasticity of Neural Circuitry

Overview of attention for article published in Frontiers in Neural Circuits, October 2017
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Title
Mechanisms of Long Non-Coding RNAs in the Assembly and Plasticity of Neural Circuitry
Published in
Frontiers in Neural Circuits, October 2017
DOI 10.3389/fncir.2017.00076
Pubmed ID
Authors

Andi Wang, Junbao Wang, Ying Liu, Yan Zhou

Abstract

The mechanisms underlying development processes and functional dynamics of neural circuits are far from understood. Long non-coding RNAs (lncRNAs) have emerged as essential players in defining identities of neural cells, and in modulating neural activities. In this review, we summarized latest advances concerning roles and mechanisms of lncRNAs in assembly, maintenance and plasticity of neural circuitry, as well as lncRNAs' implications in neurological disorders. We also discussed technical advances and challenges in studying functions and mechanisms of lncRNAs in neural circuitry. Finally, we proposed that lncRNA studies would advance our understanding on how neural circuits develop and function in physiology and disease conditions.

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X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 16%
Student > Bachelor 9 16%
Researcher 7 13%
Student > Doctoral Student 4 7%
Professor 4 7%
Other 7 13%
Unknown 15 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 18%
Neuroscience 10 18%
Agricultural and Biological Sciences 9 16%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Medicine and Dentistry 2 4%
Other 3 5%
Unknown 19 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 November 2017.
All research outputs
#14,366,847
of 23,006,268 outputs
Outputs from Frontiers in Neural Circuits
#662
of 1,222 outputs
Outputs of similar age
#181,821
of 327,882 outputs
Outputs of similar age from Frontiers in Neural Circuits
#27
of 35 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,222 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 43rd percentile – i.e., 43% 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 327,882 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.