A protocol for working with open-source neuroimaging datasets
STAR Protocols, ISSN: 2666-1667, Vol: 3, Issue: 1, Page: 101077
2022
- 1Citations
- 31Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations1
- Citation Indexes1
- Captures31
- Readers31
- 31
Article Description
Large, publicly available neuroimaging datasets are becoming increasingly common, but their use presents challenges because of insufficient knowledge of the tool options for data processing and proper data organization. Here, we describe a protocol to lessen these barriers. We describe the steps for the search and download of the open-source dataset. We detail the steps for proper data management and practical guidelines for data analysis. Finally, we give instructions for data and result sharing on public repositories and preprint services. For complete details on the use and execution of this profile, please refer to Horien et al. (2021).
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2666166721007838; http://dx.doi.org/10.1016/j.xpro.2021.101077; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85122511000&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/35036958; https://linkinghub.elsevier.com/retrieve/pii/S2666166721007838; https://dx.doi.org/10.1016/j.xpro.2021.101077
Elsevier BV
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