Automated Author ProfileFritz Nababan,
Fritz Nababan,
Current S-Index
1.3
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
34.6%
Average FAIR Score per dataset
Total Citations
1
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: 1.3 (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
- Thevanayagam, Sabanayagam ;
- Yegian, Mishac ;
- Stokoe, Kenneth H. ;
- T. Leslie Youd, ;
- Fritz Nababan, ;
- Seda Gokyer, ;
- Hadi Kazemiroodsari, ;
- Chunhui Zhao, ;
- Sourodeep Ghosh, ;
- Greg Phattanachitchon,
0 Citations0 Mentions35% FAIR0.4 Dataset Index
10.4231/d31v5bf4vJanuary 2015
No description available
Authors
- Thevanayagam, Sabanayagam ;
- Yegian, Mishac ;
- Stokoe, Kenneth H. ;
- T. Leslie Youd, ;
- Fritz Nababan, ;
- Seda Gokyer, ;
- Hadi Kazemiroodsari, ;
- Chunhui Zhao, ;
- Sourodeep Ghosh, ;
- Greg Phattanachitchon,
1 Citation0 Mentions35% FAIR0.9 Dataset Index
10.4231/d3sb3x04zJanuary 2015