Automated Organization ProfileDepartment of Neurology, Johns Hopkins Medicine, Baltimore, MD, USA
Department of Neurology, Johns Hopkins Medicine, Baltimore, MD, USA
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.3 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The synthetic dataset comprises 3,000 labeled saccadic eye movement videos evenly distributed across three classes: normal, hypometria, and hypermetria. Each video simulates horizontal saccades with realistic amplitude and velocity patterns, and is annotated based on saccadic accuracy. The videos are sampled at 25 Hz with a resolution of 256×256 pixels, and span approximately 5 seconds, capturing a sequence of multiple saccadic events per clip. For each video, a corresponding waveform is provided.
Authors
- Lin, Tianyu ;
- Ryu, Jooyoung ;
- Sreevarsha, Puvada ;
- Srinivasaragavan, Rahul ;
- Satavlekar, Riya ;
- Kim, Susan ;
- Green, Kemar