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Extracellular Electrophysiological Measurements of Cooperative Signals in Astrocytes Populations

Overview of attention for article published in Frontiers in Neural Circuits, October 2017
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Title
Extracellular Electrophysiological Measurements of Cooperative Signals in Astrocytes Populations
Published in
Frontiers in Neural Circuits, October 2017
DOI 10.3389/fncir.2017.00080
Pubmed ID
Authors

Ana L. G. Mestre, Pedro M. C. Inácio, Youssef Elamine, Sanaz Asgarifar, Ana S. Lourenço, Maria L. S. Cristiano, Paulo Aguiar, Maria C. R. Medeiros, Inês M. Araújo, João Ventura, Henrique L. Gomes

Abstract

Astrocytes are neuroglial cells that exhibit functional electrical properties sensitive to neuronal activity and capable of modulating neurotransmission. Thus, electrophysiological recordings of astroglial activity are very attractive to study the dynamics of glial signaling. This contribution reports on the use of ultra-sensitive planar electrodes combined with low noise and low frequency amplifiers that enable the detection of extracellular signals produced by primary cultures of astrocytes isolated from mouse cerebral cortex. Recorded activity is characterized by spontaneous bursts comprised of discrete signals with pronounced changes on the signal rate and amplitude. Weak and sporadic signals become synchronized and evolve with time to higher amplitude signals with a quasi-periodic behavior, revealing a cooperative signaling process. The methodology presented herewith enables the study of ionic fluctuations of population of cells, complementing the single cells observation by calcium imaging as well as by patch-clamp techniques.

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The data shown below were collected from the profile of 1 X user 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Researcher 18 21%
Student > Master 11 13%
Student > Doctoral Student 5 6%
Student > Bachelor 4 5%
Other 14 16%
Unknown 16 19%
Readers by discipline Count As %
Neuroscience 22 26%
Engineering 11 13%
Chemistry 6 7%
Materials Science 6 7%
Physics and Astronomy 5 6%
Other 16 19%
Unknown 20 23%
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 31 October 2017.
All research outputs
#20,451,228
of 23,007,053 outputs
Outputs from Frontiers in Neural Circuits
#1,034
of 1,222 outputs
Outputs of similar age
#285,694
of 327,891 outputs
Outputs of similar age from Frontiers in Neural Circuits
#29
of 35 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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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 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.