Automated Author ProfileNaim, Reut
Naim, Reut
Current S-Index
0.8
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.4
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
15.4%
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: 0.8 (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
- Linke, Julia ;
- Naim, Reut ;
- Haller, Simone ;
- Khosravi, Parmis ;
- Scheinberg, Beck ;
- Byrne, Meghan ;
- Harrewijn, Anita ;
- Leibenluft, Ellen ;
- Brotman, Melissa ;
- Winkler, Anderson ;
- Pine, Daniel
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.18112/openneuro.ds006303.v1.0.02025
No description available
Authors
- Linke, Julia ;
- Naim, Reut ;
- Haller, Simone ;
- Khosravi, Parmis ;
- Scheinberg, Beck ;
- Byrne, Meghan ;
- Harrewijn, Anita ;
- Leibenluft, Ellen ;
- Brotman, Melissa ;
- Winkler, Anderson ;
- Pine, Daniel
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.18112/openneuro.ds006303.v1.1.02025