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MANTA—an open-source, high density electrophysiology recording suite for MATLAB

Overview of attention for article published in Frontiers in Neural Circuits, January 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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14 X users

Citations

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116 Mendeley
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Title
MANTA—an open-source, high density electrophysiology recording suite for MATLAB
Published in
Frontiers in Neural Circuits, January 2013
DOI 10.3389/fncir.2013.00069
Pubmed ID
Authors

B. Englitz, S. V. David, M. D. Sorenson, S. A. Shamma

Abstract

The distributed nature of nervous systems makes it necessary to record from a large number of sites in order to decipher the neural code, whether single cell, local field potential (LFP), micro-electrocorticograms (μECoG), electroencephalographic (EEG), magnetoencephalographic (MEG) or in vitro micro-electrode array (MEA) data are considered. High channel-count recordings also optimize the yield of a preparation and the efficiency of time invested by the researcher. Currently, data acquisition (DAQ) systems with high channel counts (>100) can be purchased from a limited number of companies at considerable prices. These systems are typically closed-source and thus prohibit custom extensions or improvements by end users. We have developed MANTA, an open-source MATLAB-based DAQ system, as an alternative to existing options. MANTA combines high channel counts (up to 1440 channels/PC), usage of analog or digital headstages, low per channel cost (<$90/channel), feature-rich display and filtering, a user-friendly interface, and a modular design permitting easy addition of new features. MANTA is licensed under the GPL and free of charge. The system has been tested by daily use in multiple setups for >1 year, recording reliably from 128 channels. It offers a growing list of features, including integrated spike sorting, PSTH and CSD display and fully customizable electrode array geometry (including 3D arrays), some of which are not available in commercial systems. MANTA runs on a typical PC and communicates via TCP/IP and can thus be easily integrated with existing stimulus generation/control systems in a lab at a fraction of the cost of commercial systems. With modern neuroscience developing rapidly, MANTA provides a flexible platform that can be rapidly adapted to the needs of new analyses and questions. Being open-source, the development of MANTA can outpace commercial solutions in functionality, while maintaining a low price-point.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 10%
Germany 2 2%
United Kingdom 1 <1%
France 1 <1%
Unknown 100 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 31%
Student > Ph. D. Student 28 24%
Student > Master 11 9%
Professor > Associate Professor 10 9%
Student > Bachelor 4 3%
Other 16 14%
Unknown 11 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 30%
Neuroscience 24 21%
Engineering 19 16%
Medicine and Dentistry 7 6%
Psychology 5 4%
Other 11 9%
Unknown 15 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 15 September 2015.
All research outputs
#4,497,433
of 24,143,470 outputs
Outputs from Frontiers in Neural Circuits
#276
of 1,265 outputs
Outputs of similar age
#45,886
of 288,617 outputs
Outputs of similar age from Frontiers in Neural Circuits
#28
of 172 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,265 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 78% 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 288,617 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 84% of its contemporaries.
We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.