↓ Skip to main content

A low-cost touchscreen operant chamber using a Raspberry Pi™

Overview of attention for article published in Behavior Research Methods, March 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
2 blogs
twitter
54 X users

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
80 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A low-cost touchscreen operant chamber using a Raspberry Pi™
Published in
Behavior Research Methods, March 2018
DOI 10.3758/s13428-018-1030-y
Pubmed ID
Authors

James D. O’Leary, Olivia F. O’Leary, John F. Cryan, Yvonne M. Nolan

Abstract

The development of a touchscreen platform for rodent testing has allowed new methods for cognitive testing that have been back-translated from clinical assessment tools to preclinical animal models. This platform for cognitive assessment in animals is comparable to human neuropsychological tests such as those employed by the Cambridge Neuropsychological Test Automated Battery, and thus has several advantages compared to the standard maze apparatuses typically employed in rodent behavioral testing, such as the Morris water maze. These include improved translation of preclinical models, as well as high throughput and the automation of animal testing. However, these systems are relatively expensive, which can impede progress for researchers with limited resources. Here we describe a low-cost touchscreen operant chamber based on the single-board computer, Raspberry PiTM, which is capable of performing tasks similar to those supported by current state-of-the-art systems. This system provides an affordable alternative for cognitive testing in a touchscreen operant paradigm for researchers with limited funding.

X Demographics

X Demographics

The data shown below were collected from the profiles of 54 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 20%
Student > Ph. D. Student 15 19%
Student > Bachelor 10 13%
Student > Master 10 13%
Professor > Associate Professor 8 10%
Other 13 16%
Unknown 8 10%
Readers by discipline Count As %
Neuroscience 20 25%
Agricultural and Biological Sciences 12 15%
Psychology 8 10%
Biochemistry, Genetics and Molecular Biology 7 9%
Medicine and Dentistry 5 6%
Other 9 11%
Unknown 19 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 44. 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 06 May 2019.
All research outputs
#945,637
of 25,382,440 outputs
Outputs from Behavior Research Methods
#68
of 2,526 outputs
Outputs of similar age
#21,435
of 348,490 outputs
Outputs of similar age from Behavior Research Methods
#1
of 30 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,526 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 97% 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 348,490 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.