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OPETH: Open Source Solution for Real-Time Peri-Event Time Histogram Based on Open Ephys

Overview of attention for article published in Frontiers in Neuroinformatics, May 2020
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
1 news outlet
twitter
12 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
26 Mendeley
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Title
OPETH: Open Source Solution for Real-Time Peri-Event Time Histogram Based on Open Ephys
Published in
Frontiers in Neuroinformatics, May 2020
DOI 10.3389/fninf.2020.00021
Pubmed ID
Authors

András Széll, Sergio Martínez-Bellver, Panna Hegedüs, Balázs Hangya

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Student > Bachelor 3 12%
Other 3 12%
Researcher 2 8%
Student > Ph. D. Student 2 8%
Other 4 15%
Unknown 7 27%
Readers by discipline Count As %
Neuroscience 6 23%
Agricultural and Biological Sciences 3 12%
Arts and Humanities 2 8%
Computer Science 2 8%
Engineering 2 8%
Other 4 15%
Unknown 7 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 03 June 2020.
All research outputs
#2,374,861
of 26,408,359 outputs
Outputs from Frontiers in Neuroinformatics
#72
of 856 outputs
Outputs of similar age
#62,919
of 428,292 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#3
of 12 outputs
Altmetric has tracked 26,408,359 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 856 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. 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 428,292 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 85% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.