Automated Author ProfileYingzhen Kong
Yingzhen Kong
Current S-Index
2.6
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
1.3
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
84.6%
Average FAIR Score per dataset
Total Citations
2
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: 2.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Protein sequences used for the phylogenetic analysis of GT43 family. (TXT 27 kb)
Authors
- Xiaoyu Wang ;
- Tang, Qi ;
- Zhao, Xun ;
- Chunlin Jia ;
- Xuanwen Yang ;
- He, Guo ;
- Aimin Wu ;
- Yingzhen Kong ;
- Ruibo Hu ;
- Gongke Zhou
1 Citation0 Mentions85% FAIR2.2 Dataset Index
10.6084/m9.figshare.c.3624449_d62016
Protein sequences used for the phylogenetic analysis of GT43 family. (TXT 27 kb)
Authors
- Xiaoyu Wang ;
- Tang, Qi ;
- Zhao, Xun ;
- Chunlin Jia ;
- Xuanwen Yang ;
- He, Guo ;
- Aimin Wu ;
- Yingzhen Kong ;
- Ruibo Hu ;
- Gongke Zhou
1 Citation0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.c.3624449_d6.v12016