Automated Author ProfileHiggins, Devin
Michigan State University, United States of America
Higgins, Devin
Michigan State University, United States of America
Current S-Index
2.3
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
2.3
Average Dataset Index per dataset
Total Datasets
1
Total datasets for this author
Average FAIR Score
92.3%
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: 2.3 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Abstract of paper 0977 presented at the Digital Humanities Conference 2019 (DH2019), Utrecht , the Netherlands 9-12 July, 2019.
Authors
- Higgins, Devin ;
- Calvert, Scout ;
- Nicholson, Shawn
0 Citations0 Mentions92% FAIR2.3 Dataset Index
10.34894/rydj5xJanuary 2019