Automated Author ProfileÇenesiz, M. Alper
Nottingham Trent University
Çenesiz, M. Alper
Nottingham Trent University
Current S-Index
0.6
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.6
Average Dataset Index per dataset
Total Datasets
1
Total datasets for this author
Average FAIR Score
13.5%
Average FAIR Score per dataset
Total Citations
1
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: 0.6 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The data and programs replicate tables and figures from "COVID-19: What if immunity wanes?", by Çenesiz and Guimarães. Please see the ReadMe file for additional details.
Authors
- Çenesiz, M. Alper ;
- Guimarães, Luís
1 Citation0 Mentions13% FAIR0.6 Dataset Index
10.5683/sp3/chrdcnJanuary 2022