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ACQ4: an open-source software platform for data acquisition and analysis in neurophysiology research

Overview of attention for article published in Frontiers in Neuroinformatics, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

blogs
1 blog

Citations

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55 Dimensions

Readers on

mendeley
87 Mendeley
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Title
ACQ4: an open-source software platform for data acquisition and analysis in neurophysiology research
Published in
Frontiers in Neuroinformatics, January 2014
DOI 10.3389/fninf.2014.00003
Pubmed ID
Authors

Luke Campagnola, Megan B. Kratz, Paul B. Manis

Abstract

The complexity of modern neurophysiology experiments requires specialized software to coordinate multiple acquisition devices and analyze the collected data. We have developed ACQ4, an open-source software platform for performing data acquisition and analysis in experimental neurophysiology. This software integrates the tasks of acquiring, managing, and analyzing experimental data. ACQ4 has been used primarily for standard patch-clamp electrophysiology, laser scanning photostimulation, multiphoton microscopy, intrinsic imaging, and calcium imaging. The system is highly modular, which facilitates the addition of new devices and functionality. The modules included with ACQ4 provide for rapid construction of acquisition protocols, live video display, and customizable analysis tools. Position-aware data collection allows automated construction of image mosaics and registration of images with 3-dimensional anatomical atlases. ACQ4 uses free and open-source tools including Python, NumPy/SciPy for numerical computation, PyQt for the user interface, and PyQtGraph for scientific graphics. Supported hardware includes cameras, patch clamp amplifiers, scanning mirrors, lasers, shutters, Pockels cells, motorized stages, and more. ACQ4 is available for download at http://www.acq4.org.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 6%
United States 4 5%
Japan 1 1%
Unknown 77 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 34%
Student > Ph. D. Student 18 21%
Student > Master 6 7%
Student > Bachelor 5 6%
Student > Doctoral Student 4 5%
Other 14 16%
Unknown 10 11%
Readers by discipline Count As %
Neuroscience 27 31%
Agricultural and Biological Sciences 23 26%
Engineering 7 8%
Physics and Astronomy 6 7%
Computer Science 4 5%
Other 11 13%
Unknown 9 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 07 February 2014.
All research outputs
#4,405,871
of 22,743,667 outputs
Outputs from Frontiers in Neuroinformatics
#233
of 743 outputs
Outputs of similar age
#53,256
of 305,223 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#7
of 22 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 743 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has gotten more attention than average, scoring higher than 68% 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 305,223 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 22 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 68% of its contemporaries.