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Functional dissection of synaptic circuits: in vivo patch-clamp recording in neuroscience

Overview of attention for article published in Frontiers in Neural Circuits, May 2015
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Title
Functional dissection of synaptic circuits: in vivo patch-clamp recording in neuroscience
Published in
Frontiers in Neural Circuits, May 2015
DOI 10.3389/fncir.2015.00023
Pubmed ID
Authors

Can Tao, Guangwei Zhang, Ying Xiong, Yi Zhou

Abstract

Neuronal activity is dominated by synaptic inputs from excitatory or inhibitory neural circuits. With the development of in vivo patch-clamp recording, especially in vivo voltage-clamp recording, researchers can not only directly measure neuronal activity, such as spiking responses or membrane potential dynamics, but also quantify synaptic inputs from excitatory and inhibitory circuits in living animals. This approach enables researchers to directly unravel different synaptic components and to understand their underlying roles in particular brain functions. Combining in vivo patch-clamp recording with other techniques, such as two-photon imaging or optogenetics, can provide even clearer functional dissection of the synaptic contributions of different neurons or nuclei. Here, we summarized current applications and recent research progress using the in vivo patch-clamp recording method and focused on its role in the functional dissection of different synaptic inputs. The key factors of a successful in vivo patch-clamp experiment and possible solutions based on references and our experiences were also discussed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 259 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 1%
United Kingdom 3 1%
France 1 <1%
Portugal 1 <1%
Czechia 1 <1%
Japan 1 <1%
Unknown 249 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 66 25%
Researcher 43 17%
Student > Master 42 16%
Student > Bachelor 30 12%
Student > Postgraduate 10 4%
Other 23 9%
Unknown 45 17%
Readers by discipline Count As %
Neuroscience 94 36%
Agricultural and Biological Sciences 54 21%
Biochemistry, Genetics and Molecular Biology 13 5%
Engineering 11 4%
Medicine and Dentistry 10 4%
Other 28 11%
Unknown 49 19%
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 09 June 2015.
All research outputs
#14,812,531
of 22,807,037 outputs
Outputs from Frontiers in Neural Circuits
#698
of 1,216 outputs
Outputs of similar age
#148,269
of 267,786 outputs
Outputs of similar age from Frontiers in Neural Circuits
#8
of 17 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,216 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 36th percentile – i.e., 36% 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 267,786 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 17 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.