Automated Author ProfileTheilla, Miriam
Theilla, Miriam
Current S-Index
1.4
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
1.4
Average Dataset Index per dataset
Total Datasets
1
Total datasets for this author
Average FAIR Score
65.4%
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: 1.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This data was used to examines the effect of formal expertise, and type of recommendation on the patient’s judgment of the dietitian's EA and their intention to comply with the dietitian’s recommendation.
Authors
- Theilla, Miriam
0 Citations0 Mentions65% FAIR1.4 Dataset Index
10.17632/fw6h9tzw45.1May 2018