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Monitoring serotonin signaling on a subsecond time scale

Overview of attention for article published in Frontiers in Integrative Neuroscience, January 2013
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Title
Monitoring serotonin signaling on a subsecond time scale
Published in
Frontiers in Integrative Neuroscience, January 2013
DOI 10.3389/fnint.2013.00044
Pubmed ID
Authors

Elyse C. Dankoski, R. Mark Wightman

Abstract

Serotonin modulates a variety of processes throughout the brain, but it is perhaps best known for its involvement in the etiology and treatment of depressive disorders. Microdialysis studies have provided a clear picture of how ambient serotonin levels fluctuate with regard to behavioral states and pharmacological manipulation, and anatomical and electrophysiological studies describe the location and activity of serotonin and its targets. However, few techniques combine the temporal resolution, spatial precision, and chemical selectivity to directly evaluate serotonin release and uptake. Fast-scan cyclic voltammetry (FSCV) is an electrochemical method that can detect minute changes in neurotransmitter concentration on the same temporal and spatial dimensions as extrasynaptic neurotransmission. Subsecond measurements both in vivo and in brain slice preparations enable us to tease apart the processes of release and uptake. These studies have particularly highlighted the significance of regulatory mechanisms to proper functioning of the serotonin system. This article will review the findings of FSCV investigations of serotonergic neurotransmission and discuss this technique's potential in future studies of the serotonin system.

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X Demographics

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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 <1%
China 1 <1%
Unknown 115 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 34%
Researcher 18 15%
Student > Bachelor 9 8%
Professor 7 6%
Student > Doctoral Student 6 5%
Other 22 18%
Unknown 17 14%
Readers by discipline Count As %
Chemistry 21 18%
Agricultural and Biological Sciences 19 16%
Neuroscience 19 16%
Engineering 8 7%
Biochemistry, Genetics and Molecular Biology 7 6%
Other 20 17%
Unknown 25 21%
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 05 June 2013.
All research outputs
#20,194,368
of 22,711,645 outputs
Outputs from Frontiers in Integrative Neuroscience
#754
of 853 outputs
Outputs of similar age
#248,753
of 280,737 outputs
Outputs of similar age from Frontiers in Integrative Neuroscience
#81
of 89 outputs
Altmetric has tracked 22,711,645 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 853 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. 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 89 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.