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svipt-task-analysis

Analysis script for the paper "Transcranial direct current stimulation leads to faster acquisition of motor skills, but effects are not maintained at retention"

https://github.com/dana-and-monsters/svipt-task-analysis

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ○
    Academic publication links
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (2.2%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

Analysis script for the paper "Transcranial direct current stimulation leads to faster acquisition of motor skills, but effects are not maintained at retention"

Basic Info
  • Host: GitHub
  • Owner: dana-and-monsters
  • Language: Python
  • Default Branch: main
  • Size: 9.77 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 4 years ago · Last pushed 8 months ago
Metadata Files
Readme Citation

README 

"Transcranial direct current stimulation leads to faster acquisition of motor skills, but effects are not maintained at retention"

This project contains the python script that took the data collected from the SVIPT task and provided a score for each participant. 

Kunaratnam N, Saumer TM, Kuan G, Holmes Z, Swarbrick D, Kiss A, et al. (2022) Transcranial direct current stimulation leads to faster acquisition of motor skills, but effects are not maintained at retention. PLoS ONE 17(9): e0269851. https://doi.org/10.1371/journal.pone.0269851

Owner

  • Name: Dana
  • Login: dana-and-monsters
  • Kind: user
  • Location: Oslo

HBSc Psychology with specialization in Music Cognition MSc Rehabilitation Sciences Currently: Doctoral researcher at RITMO (University of Oslo)

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Swarbrick"
  given-names: "Dana"
  orcid: "https://orcid.org/0000-0001-7242-9138"
title: "svipt-task-analysis"
version: 1.0.0
doi: 10.5281/zenodo.1234
date-released: 2022-09-13
url: "https://github.com/dana-and-monsters/svipt-task-analysis"

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