Automated Author ProfileCaixia Li
Caixia Li
Current S-Index
3.1
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
1.5
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
49.0%
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: 3.1 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Availability of data and material(1). (XLS 99Â kb)
Authors
- Lihui Su ;
- Zhou, Tao ;
- Zongli Zhang ;
- Xiuguo Zhang ;
- Xuting Zhi ;
- Caixia Li ;
- Qingliang Wang ;
- Chongqi Jia ;
- Wenna Shi ;
- Yanqiu Yue ;
- Yanjing Gao ;
- Baoquan Cheng
1 Citation0 Mentions13% FAIR0.6 Dataset Index
10.6084/m9.figshare.c.3611084_d2January 2016
Availability of data and material(1). (XLS 99Â kb)
Authors
- Lihui Su ;
- Zhou, Tao ;
- Zongli Zhang ;
- Xiuguo Zhang ;
- Xuting Zhi ;
- Caixia Li ;
- Qingliang Wang ;
- Chongqi Jia ;
- Wenna Shi ;
- Yanqiu Yue ;
- Yanjing Gao ;
- Baoquan Cheng
1 Citation0 Mentions85% FAIR2.4 Dataset Index
10.6084/m9.figshare.c.3611084_d2.v1January 2016