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PeakCaller: an automated graphical interface for the quantification of intracellular calcium obtained by high-content screening

Overview of attention for article published in BMC Neuroscience, October 2017
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Title
PeakCaller: an automated graphical interface for the quantification of intracellular calcium obtained by high-content screening
Published in
BMC Neuroscience, October 2017
DOI 10.1186/s12868-017-0391-y
Pubmed ID
Authors

Elena Artimovich, Russell K. Jackson, Michaela B. C. Kilander, Yu-Chih Lin, Michael W. Nestor

Abstract

Intracellular calcium is an important ion involved in the regulation and modulation of many neuronal functions. From regulating cell cycle and proliferation to initiating signaling cascades and regulating presynaptic neurotransmitter release, the concentration and timing of calcium activity governs the function and fate of neurons. Changes in calcium transients can be used in high-throughput screening applications as a basic measure of neuronal maturity, especially in developing or immature neuronal cultures derived from stem cells. Using human induced pluripotent stem cell derived neurons and dissociated mouse cortical neurons combined with the calcium indicator Fluo-4, we demonstrate that PeakCaller reduces type I and type II error in automated peak calling when compared to the oft-used PeakFinder algorithm under both basal and pharmacologically induced conditions. Here we describe PeakCaller, a novel MATLAB script and graphical user interface for the quantification of intracellular calcium transients in neuronal cultures. PeakCaller allows the user to set peak parameters and smoothing algorithms to best fit their data set. This new analysis script will allow for automation of calcium measurements and is a powerful software tool for researchers interested in high-throughput measurements of intracellular calcium.

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The data shown below were collected from the profiles of 4 X users 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 21%
Researcher 14 21%
Student > Master 10 15%
Student > Doctoral Student 6 9%
Student > Bachelor 6 9%
Other 9 13%
Unknown 8 12%
Readers by discipline Count As %
Neuroscience 20 30%
Biochemistry, Genetics and Molecular Biology 9 13%
Engineering 7 10%
Agricultural and Biological Sciences 5 7%
Medicine and Dentistry 4 6%
Other 13 19%
Unknown 9 13%
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 19 October 2017.
All research outputs
#15,481,147
of 23,005,189 outputs
Outputs from BMC Neuroscience
#709
of 1,250 outputs
Outputs of similar age
#203,896
of 325,925 outputs
Outputs of similar age from BMC Neuroscience
#6
of 11 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,250 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 34th percentile – i.e., 34% 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 325,925 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.