Automated Author ProfileGanesan, Harivignesh
Universitätsklinikum Tübingen
Ganesan, Harivignesh
Universitätsklinikum Tübingen
Current S-Index
1.1
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.6
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
13.5%
Average FAIR Score per dataset
Total Citations
2
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: 1.1 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Supplementary Material 1: Figure S1. Original SGK1 blots uncropped.
Authors
- Sahu, Itishri ;
- Engelmann, Fabienne ;
- Weidensee, Brian ;
- Ganesan, Harivignesh ;
- Brucker, Sara Y. ;
- Singh, Yogesh ;
- Salker, Madhuri S.
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.6084/m9.figshare.29632502January 2025
Supplementary Material 1: Figure S1. Original SGK1 blots uncropped.
Authors
- Sahu, Itishri ;
- Engelmann, Fabienne ;
- Weidensee, Brian ;
- Ganesan, Harivignesh ;
- Brucker, Sara Y. ;
- Singh, Yogesh ;
- Salker, Madhuri S.
1 Citation0 Mentions13% FAIR0.5 Dataset Index
10.6084/m9.figshare.29632502.v1January 2025