Automated Author ProfileFu, Haidong
Fu, Haidong
Current S-Index
0.7
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.3
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
76.0%
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: 0.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This is ScRNAseq datasets used to analyses the pathogenesis of nephrotic syndrome.
Authors
- Li, Qiu-yu ;
- Liu, Fei ;
- Li, Xiaoyi ;
- Kang, Minchao ;
- Bai, Linnan ;
- Tong, Tong ;
- Zheng, Chen ;
- Jin, Yanyan ;
- Zhang, Xiaojing ;
- Xie, Yi ;
- Tian, Dandan ;
- Pan, Yuanqing ;
- Wang, Jingjing ;
- Fu, Haidong ;
- Na, Jiao ;
- Wu, Junnan ;
- Mao, JianHua
0 Citations0 Mentions79% FAIR0.4 Dataset Index
10.5281/zenodo.137651962024
This is ScRNAseq datasets used to analyses the pathogenesis of nephrotic syndrome.
Authors
- Li, Qiu-yu ;
- Liu, Fei ;
- Li, Xiaoyi ;
- Kang, Minchao ;
- Bai, Linnan ;
- Tong, Tong ;
- Zheng, Chen ;
- Jin, Yanyan ;
- Zhang, Xiaojing ;
- Xie, Yi ;
- Tian, Dandan ;
- Pan, Yuanqing ;
- Wang, Jingjing ;
- Fu, Haidong ;
- Na, Jiao ;
- Wu, Junnan ;
- Mao, JianHua
0 Citations0 Mentions73% FAIR0.3 Dataset Index
10.5281/zenodo.137651972024