Automated Author ProfileKijimoto, Teiya
Kijimoto, Teiya
Current S-Index
3.0
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
1.5
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
47.1%
Average FAIR Score per dataset
Total Citations
3
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: 3.0 (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
- Zattara, Eduardo ;
- Hughes, Daniel S. T. ;
- Richards, Stephen ;
- Kijimoto, Teiya ;
- Mozcek, Armin
3 Citations0 Mentions13% FAIR1.3 Dataset Index
10.15482/usda.adc/1255153January 2016