Automated Author ProfileLappalainen, Sanna (Tampere University)
Lappalainen, Sanna (Tampere University)
Current S-Index
1.9
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
1.9
Average Dataset Index per dataset
Total Datasets
1
Total datasets for this author
Average FAIR Score
76.9%
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: 1.9 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- Kestilä-Kekkonen, Elina (Tampere University) ;
- Tiihonen, Aino (Tampere University) ;
- Sipinen, Josefina (Tampere University) ;
- Kekkonen, Maria (Tampere University) ;
- Myllymäki, Aino (Tampere University) ;
- Vahteri, Iina (Tampere University) ;
- Jaakkola, Julia (Tampere University) ;
- Äijälä, Liisa (Tampere University) ;
- Lappalainen, Sanna (Tampere University) ;
- Haataja, Lotta (Tampere University)
0 Citations0 Mentions77% FAIR1.9 Dataset Index
10.60686/t-fsd37872024