Automated Author ProfileVoytek, Bradley
Voytek, Bradley
Current S-Index
0.4
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.2
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
28.8%
Average FAIR Score per dataset
Total Citations
0
Total citations to the author's datasets
Total Mentions
0
Total mentions of the author'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: 0.4 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- Waschke, Leonhard ;
- Donoghue, Thomas ;
- Fiedler, Lorenz ;
- Smith, Sydney ;
- Garrett, Douglas ;
- Voytek, Bradley ;
- Obleser, Jonas
0 Citations0 Mentions15% FAIR0.1 Dataset Index
10.18112/openneuro.ds004010.v1.0.02022
A Python library for merging disparate neuroscience data into a common coordinate system, to help facilitate semi-automatic hypothesis generation to speed research discovery.
Authors
- Zeqollari, Adita ;
- Zeqollari, Arlens ;
- Hoye, Erik ;
- Reeves, Robert ;
- Voytek, Bradley
0 Citations0 Mentions42% FAIR0.3 Dataset Index
10.6075/j06m35b62020