↓ Skip to main content

Tools, methods, and applications for optophysiology in neuroscience

Overview of attention for article published in Frontiers in Molecular Neuroscience, January 2013
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
5 X users
facebook
1 Facebook page

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
227 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Tools, methods, and applications for optophysiology in neuroscience
Published in
Frontiers in Molecular Neuroscience, January 2013
DOI 10.3389/fnmol.2013.00018
Pubmed ID
Authors

Niklas Smedemark-Margulies, Josef G. Trapani

Abstract

The advent of optogenetics and genetically encoded photosensors has provided neuroscience researchers with a wealth of new tools and methods for examining and manipulating neuronal function in vivo. There exists now a wide range of experimentally validated protein tools capable of modifying cellular function, including light-gated ion channels, recombinant light-gated G protein-coupled receptors, and even neurotransmitter receptors modified with tethered photo-switchable ligands. A large number of genetically encoded protein sensors have also been developed to optically track cellular activity in real time, including membrane-voltage-sensitive fluorophores and fluorescent calcium and pH indicators. The development of techniques for controlled expression of these proteins has also increased their utility by allowing the study of specific populations of cells. Additionally, recent advances in optics technology have enabled both activation and observation of target proteins with high spatiotemporal fidelity. In combination, these methods have great potential in the study of neural circuits and networks, behavior, animal models of disease, as well as in high-throughput ex vivo studies. This review collects some of these new tools and methods and surveys several current and future applications of the evolving field of optophysiology.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Chile 1 <1%
France 1 <1%
Colombia 1 <1%
Japan 1 <1%
India 1 <1%
Greece 1 <1%
Poland 1 <1%
Unknown 215 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 26%
Researcher 52 23%
Student > Master 22 10%
Student > Bachelor 21 9%
Student > Doctoral Student 12 5%
Other 32 14%
Unknown 29 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 29%
Neuroscience 65 29%
Medicine and Dentistry 14 6%
Engineering 13 6%
Biochemistry, Genetics and Molecular Biology 11 5%
Other 28 12%
Unknown 30 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 August 2013.
All research outputs
#7,372,748
of 22,714,025 outputs
Outputs from Frontiers in Molecular Neuroscience
#1,018
of 2,838 outputs
Outputs of similar age
#83,664
of 280,752 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#10
of 39 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,838 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 63% 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 280,752 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.