Automated Author ProfileXiangrui Xu
Nanjing Agricultural University0000-0002-9711-9731
Xiangrui Xu
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
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: 1.0 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The published studies used for database construction until September 2020 were collected from Web of Science and China National Knowledge Infrastructure (CNKI), using the keywords ‘biochar’ or ‘charcoal’, ‘soil’ and ‘yield’ or ‘soil porosity’ or ‘available water content’ or ‘field water capacity’ or ‘water use efficiency’ for literature retrieval. The period of literature search for database building was from 2010 to 2020.Abbreviations: WUE, water use efficiency; AWC, available water content; SSHC, soil saturated hydraulic conductivity; WC, soil water content; SP, soil porosity; BD, soil bulk density; SOC, soil organic carbon ; FWC, field water capacity; PWP, permanent wilting point ; CP, capillary porosity; SMC, saturated moisture content; MWD, mean weight diameter.
Authors
- Wenao Wu ;
- Xiangrui Xu ;
- Jiayuan Han ;
- Yining Gu ;
- Cheng, Kun