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Ethoscopes: An open platform for high-throughput ethomics

Overview of attention for article published in PLoS Biology, October 2017
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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 (98th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

news
5 news outlets
blogs
5 blogs
twitter
122 tweeters

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
115 Mendeley
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Title
Ethoscopes: An open platform for high-throughput ethomics
Published in
PLoS Biology, October 2017
DOI 10.1371/journal.pbio.2003026
Pubmed ID
Authors

Quentin Geissmann, Luis Garcia Rodriguez, Esteban J. Beckwith, Alice S. French, Arian R. Jamasb, Giorgio F. Gilestro

Abstract

Here, we present the use of ethoscopes, which are machines for high-throughput analysis of behavior in Drosophila and other animals. Ethoscopes provide a software and hardware solution that is reproducible and easily scalable. They perform, in real-time, tracking and profiling of behavior by using a supervised machine learning algorithm, are able to deliver behaviorally triggered stimuli to flies in a feedback-loop mode, and are highly customizable and open source. Ethoscopes can be built easily by using 3D printing technology and rely on Raspberry Pi microcomputers and Arduino boards to provide affordable and flexible hardware. All software and construction specifications are available at http://lab.gilest.ro/ethoscope.

Twitter Demographics

The data shown below were collected from the profiles of 122 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 115 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 24%
Student > Ph. D. Student 22 19%
Student > Bachelor 16 14%
Student > Master 10 9%
Student > Postgraduate 6 5%
Other 15 13%
Unknown 18 16%
Readers by discipline Count As %
Neuroscience 30 26%
Agricultural and Biological Sciences 30 26%
Biochemistry, Genetics and Molecular Biology 15 13%
Medicine and Dentistry 4 3%
Engineering 4 3%
Other 10 9%
Unknown 22 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 136. 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 January 2020.
All research outputs
#161,532
of 16,623,170 outputs
Outputs from PLoS Biology
#415
of 4,793 outputs
Outputs of similar age
#5,889
of 325,922 outputs
Outputs of similar age from PLoS Biology
#16
of 52 outputs
Altmetric has tracked 16,623,170 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,793 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 52.2. This one has done particularly well, scoring higher than 91% 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 325,922 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 98% of its contemporaries.
We're also able to compare this research output to 52 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 71% of its contemporaries.