Automated Author ProfileKobayashi, Seiki
Kobayashi, Seiki
Current S-Index
0.4
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.2
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
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: 0.4 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Additional file 1: Extended Data 1-4.
Authors
- Kawano-Sugaya, Tetsuro ;
- Izumiyama, Shinji ;
- Yanagawa, Yasuaki ;
- Saito-Nakano, Yumiko ;
- Watanabe, Koji ;
- Kobayashi, Seiki ;
- Nakada-Tsukui, Kumiko ;
- Nozaki, Tomoyoshi
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.13620076January 2021
Additional file 1: Extended Data 1-4.
Authors
- Kawano-Sugaya, Tetsuro ;
- Izumiyama, Shinji ;
- Yanagawa, Yasuaki ;
- Saito-Nakano, Yumiko ;
- Watanabe, Koji ;
- Kobayashi, Seiki ;
- Nakada-Tsukui, Kumiko ;
- Nozaki, Tomoyoshi
0 Citations0 Mentions13% FAIR0.1 Dataset Index
10.6084/m9.figshare.13620076.v1January 2021