Automated Organization ProfileGeographical Big Data Computation and Resource Planning Laboratory of Hebei Normal University
Geographical Big Data Computation and Resource Planning Laboratory of Hebei Normal University
Current S-Index
3.6
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
1.8
Average Dataset Index per dataset
Total Datasets
2
Total datasets in this organization
Average FAIR Score
73.1%
Average FAIR Score per dataset
Total Citations
0
Total citations to the organization's datasets
Total Mentions
0
Total mentions of the organization'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: 3.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- Li, Lingling ;
- Wen, Peizhang ;
- Liu, Jinsong ;
- Li, Yancheng ;
- Shi, Mengxin ;
- Shang, Junhao
0 Citations0 Mentions73% FAIR1.8 Dataset Index
10.5281/zenodo.14685250January 2025