Automated Author ProfileLi, Geng
Shandong Agricultural University
Li, Geng
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 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Additional file 1: Fig. S1. The bubble chart shows the GO enrichment analysesof Khib-modifiedproteins in soybean leaves. Fig. S2. Thebubble chart shows the enrichment of KEGG pathway of Khib-modifiedproteins in soybean leaves. Fig. S3. Representative pathway mapsof Khib-modified proteins. (A) Khib-modified proteins in central carbon metabolism, includingpentose phosphate pathway and oxidative phosphorylation. (B) Khib-modifiedproteins in carbon fixation in photosynthetic organisms. (C) Khib-modifiedproteins in fatty acid biosynthesis. The identified Khib-modifiedproteins are indicated in boxes with a red background. Fig. S4. The global PPI network ofidentified Khib-modified proteins in soybean leaves. Table S1. All identified Khib sites and proteins that overlap in three replicates in soybean leaves. Table S2. GO functional classification of Khib-modified proteins in soybean leaves. Table S3. Subcellular localization distribution of Khib-modified proteins in soybean leaves. Table S4. Secondary structure and surface accessibility distribution of Khib-modified peptides in soybean leaves. Table S5. GO enrichment analysis of Khib-modified proteins in soybean leaves. Table S6. KEGG pathway enrichment of Khib-modified proteins in soybean leaves. Table S7. Motif analysis of Khib-modified peptides in soybean leaves. Table S8. The PPI network of Khib-modified proteins in soybean leaves.
Authors
- Zhao, Wei ;
- Ren, Ting-Hu ;
- Zhou, Yan-Zheng ;
- Liu, Sheng-Bo ;
- Huang, Xin-Yang ;
- Ning, Tang-Yuan ;
- Li, Geng
Additional file 1: Fig. S1. The bubble chart shows the GO enrichment analysesof Khib-modifiedproteins in soybean leaves. Fig. S2. Thebubble chart shows the enrichment of KEGG pathway of Khib-modifiedproteins in soybean leaves. Fig. S3. Representative pathway mapsof Khib-modified proteins. (A) Khib-modified proteins in central carbon metabolism, includingpentose phosphate pathway and oxidative phosphorylation. (B) Khib-modifiedproteins in carbon fixation in photosynthetic organisms. (C) Khib-modifiedproteins in fatty acid biosynthesis. The identified Khib-modifiedproteins are indicated in boxes with a red background. Fig. S4. The global PPI network ofidentified Khib-modified proteins in soybean leaves. Table S1. All identified Khib sites and proteins that overlap in three replicates in soybean leaves. Table S2. GO functional classification of Khib-modified proteins in soybean leaves. Table S3. Subcellular localization distribution of Khib-modified proteins in soybean leaves. Table S4. Secondary structure and surface accessibility distribution of Khib-modified peptides in soybean leaves. Table S5. GO enrichment analysis of Khib-modified proteins in soybean leaves. Table S6. KEGG pathway enrichment of Khib-modified proteins in soybean leaves. Table S7. Motif analysis of Khib-modified peptides in soybean leaves. Table S8. The PPI network of Khib-modified proteins in soybean leaves.
Authors
- Zhao, Wei ;
- Ren, Ting-Hu ;
- Zhou, Yan-Zheng ;
- Liu, Sheng-Bo ;
- Huang, Xin-Yang ;
- Ning, Tang-Yuan ;
- Li, Geng