Automated Author ProfileErd, R C
Erd, R C
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: 0.8 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Based on chemical, spectrographic and X-ray analyses, 34 samples from the experimental Mohole consist of variable proportions of calcite (0-60 percent), biogenic opal (0-50 percent), and normal lithogenous matter (14-97 percent) with an average of 20, 32, and 48 percent, respectively. Contamination with trachytic ash, rhyolitic ash, and saponite and dolomite occurring as alteration products of basaltic material affects the composition of a few samples. Magnesium, manganese, and phosphorus seem to have been derived from basaltic material also. The amounts of barium in the samples seems to be inversely related to sedimentation rates.
Authors
- Murata, K J ;
- Erd, R C