Automated Author ProfileSchmitz, Kevin
Technical University of Munich
Schmitz, Kevin
Technical University of Munich
Current S-Index
1.7
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.8
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
84.6%
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: 1.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Supplementary File 2.
Authors
- Rüllke, Marcel ;
- Schönrock, Veronika ;
- Schmitz, Kevin ;
- Oreb, Mislav ;
- Tamayo, Elisabeth ;
- Benz, J. Philipp
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.271735772024
Supplementary File 2.
Authors
- Rüllke, Marcel ;
- Schönrock, Veronika ;
- Schmitz, Kevin ;
- Oreb, Mislav ;
- Tamayo, Elisabeth ;
- Benz, J. Philipp
1 Citation0 Mentions85% FAIR0.8 Dataset Index
10.6084/m9.figshare.27173577.v12024