Automated Author ProfileCairnes, Kylie M.
Cairnes, Kylie M.
Current S-Index
5.7
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
1.9
Average Dataset Index per dataset
Total Datasets
3
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: 5.7 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- Arendt, Maja ;
- Cairnes, Kylie M. ;
- Ballard, William J. ;
- Savolainen, Peter ;
- Axelsson, Erik
0 Citations0 Mentions77% FAIR1.9 Dataset Index
10.5061/dryad.1j6b6/12016
No description available
Authors
- Arendt, Maja ;
- Cairnes, Kylie M. ;
- Ballard, William J. ;
- Savolainen, Peter ;
- Axelsson, Erik
0 Citations0 Mentions77% FAIR1.9 Dataset Index
10.5061/dryad.1j6b6/22016