Automated Author ProfileNCEAS 7680: McCain: Elevational Trends In Biodiversity: Examining Theoretical Predictions Across Taxa
NCEAS 7680: McCain: Elevational Trends In Biodiversity: Examining Theoretical Predictions Across Taxa
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
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: 0.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
All patterns of range distributions for non-volant small mammals along elevational gradients found in the literature across a global extent, including islands and continental mountain masses. Additional specimen-based elevational datasets have been amassed for several individual mountain ranges: Tilaran Mountains, Costa Rica; Vancouver Island Mountains, B. C.; Olympic Mountains, WA; Lassen National Park, CA; San Jacinto Mountains, CA; Great Smoky Mountains, TN and NC; and northern mountains in Vermont and New Hampshire.
Authors
- NCEAS 7680: McCain: Elevational Trends In Biodiversity: Examining Theoretical Predictions Across Taxa ;
- McCain, Christy ;
- National Center For Ecological Analysis And Synthesis