Automated Author ProfileKyaw, Nay Tun
Kyaw, Nay Tun
Current S-Index
0.3
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.3
Average Dataset Index per dataset
Total Datasets
1
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: 0.3 (sum of 1 dataset Dataset Index scores)
More information here.