Automated Author ProfileBivins, Marissa
Bivins, Marissa
Current S-Index
1.4
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.7
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
15.4%
Average FAIR Score per dataset
Total Citations
2
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: 1.4 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Additional file 1: Table S1. Comprehensive quantification of cell death signaling levels by densitometry.
Authors
- Chung, Alexander ;
- Leisner, Tina ;
- Dardis, Gabrielle ;
- Bivins, Marissa ;
- Keller, Alana ;
- Parise, Leslie
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.76727572019
Additional file 1: Table S1. Comprehensive quantification of cell death signaling levels by densitometry.
Authors
- Chung, Alexander ;
- Leisner, Tina ;
- Dardis, Gabrielle ;
- Bivins, Marissa ;
- Keller, Alana ;
- Parise, Leslie
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.7672757.v12019