Automated Author ProfileMcNeely, Camille
McNeely, Camille
Current S-Index
1.8
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.4
Average Dataset Index per dataset
Total Datasets
4
Total datasets for this author
Average FAIR Score
84.6%
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: 1.8 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Macroinvertebrate guild assignments and length–biomass regressions.
Authors
- McNeely, Camille ;
- Finlay, Jacques C. ;
- Power, Mary E.
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.6084/m9.figshare.35272492016
Macroinvertebrate guild assignments and length–biomass regressions.
Authors
- McNeely, Camille ;
- Finlay, Jacques C. ;
- Power, Mary E.
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.6084/m9.figshare.3527249.v12016
Regression equations used to estimate biomass of caddisflies from case length.
Authors
- McNeely, Camille ;
- Power, Mary E.
0 Citations0 Mentions85% FAIR0.6 Dataset Index
10.6084/m9.figshare.35283472016