Automated Author ProfileA Vrieling
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente
A Vrieling
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente
Current S-Index
2.2
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
2.2
Average Dataset Index per dataset
Total Datasets
1
Total datasets for this author
Average FAIR Score
100.0%
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: 2.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset provides 8-day time series of surface water extent (km2) from 2000 to 2017 for 340 Mediterranean wetlands, based on a previously developed 8-day 500 m MODIS surface water fraction dataset.
Authors
- L Li ;
- A Vrieling ;
- A Skidmore ;
- T Wang
0 Citations0 Mentions100% FAIR2.2 Dataset Index
10.17026/dans-x7c-atbtJanuary 2019