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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Studying Axon-Astrocyte Functional Interactions by 3D Two-Photon Ca2+ Imaging: A Practical Guide to Experiments and “Big Data” Analysis
|
|---|---|
| Published in |
Frontiers in Cellular Neuroscience, April 2018
|
| DOI | 10.3389/fncel.2018.00098 |
| Pubmed ID | |
| Authors |
Iaroslav Savtchouk, Giovanni Carriero, Andrea Volterra |
| Abstract |
Recent advances in fast volumetric imaging have enabled rapid generation of large amounts of multi-dimensional functional data. While many computer frameworks exist for data storage and analysis of the multi-gigabyte Ca2+ imaging experiments in neurons, they are less useful for analyzing Ca2+ dynamics in astrocytes, where transients do not follow a predictable spatio-temporal distribution pattern. In this manuscript, we provide a detailed protocol and commentary for recording and analyzing three-dimensional (3D) Ca2+ transients through time in GCaMP6f-expressing astrocytes of adult brain slices in response to axonal stimulation, using our recently developed tools to perform interactive exploration, filtering, and time-correlation analysis of the transients. In addition to the protocol, we release our in-house software tools and discuss parameters pertinent to conducting axonal stimulation/response experiments across various brain regions and conditions. Our software tools are available from the Volterra Lab webpage at https://wwwfbm.unil.ch/dnf/group/glia-an-active-synaptic-partner/member/volterra-andrea-volterra in the form of software plugins for Image J (NIH)-a de facto standard in scientific image analysis. Three programs are available: MultiROI_TZ_profiler for interactive graphing of several movable ROIs simultaneously, Gaussian_Filter5D for Gaussian filtering in several dimensions, and Correlation_Calculator for computing various cross-correlation parameters on voxel collections through time. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 25% |
| Poland | 1 | 13% |
| United Kingdom | 1 | 13% |
| India | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
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 % |
|---|---|---|
| Researcher | 16 | 29% |
| Student > Ph. D. Student | 11 | 20% |
| Student > Bachelor | 11 | 20% |
| Student > Doctoral Student | 2 | 4% |
| Student > Master | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 8 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 20 | 36% |
| Agricultural and Biological Sciences | 9 | 16% |
| Engineering | 5 | 9% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Medicine and Dentistry | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 10 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 September 2018.
All research outputs
#6,285,277
of 23,043,346 outputs
Outputs from Frontiers in Cellular Neuroscience
#1,144
of 4,267 outputs
Outputs of similar age
#110,115
of 327,997 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#33
of 101 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,267 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 73% 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 327,997 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 66% of its contemporaries.
We're also able to compare this research output to 101 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 67% of its contemporaries.