Automated Author ProfileSt. Clair, Katie
St. Clair, Katie
Current S-Index
2.2
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
1.1
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
62.5%
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: 2.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This repository contains data and R code supporting Ferguson et al. A comparison of survey method efficiency for estimating densities of Zebra Mussels (Dreissena polymorpha).
Authors
- Ferguson, Jake M ;
- Jimenez, Laura ;
- Keyes, Aislyn A ;
- Hilding, Austen ;
- McCartney, Michael A ;
- St. Clair, Katie ;
- Johnson, Douglas H ;
- Fieberg, John R
0 Citations0 Mentions48% FAIR0.3 Dataset Index
10.13020/bjdp-p9772023