Automated Author ProfileGrebogi, Celso
Grebogi, Celso
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: 3.1 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The Datasets Serve for the Misssion of Finding Convergent Transcriptomic Evidence about Dysfunctional Quantitative Mechanism of Synaptic Plasticity Control in ASD. Including: Supplementary File 1 Composition of nodes in Signal Network.xlsxSupplementary File 2 Regulation edges in Signal Network.xlsx Supplementary File 3 Syngo_annotations.xlsx Supplementary File 4 Annotation_SIGNOR and SignaLink_Omnipath.xlsx Supplementary File 5 mSiReN - network structure overall.csv Supplementary File 6 The activated nodes and edges from NIVaCaR.xlsx Supplementary File 7 Nodes Information and DE analysis about translation control and LTP or LTD related proteins and complexes.xlsx Supplementary File 8 ProComReN weights in best model.xlsx Supplementary File 9 The variation (sd) for cell types.xlsx Supplementary File 10 Targeted ncRNA with sub-pathway nodes.xlsx Supplementary File 11 String interactions with sub-pathway nodes.xlsx Supplementary File 12 SFARI with sub-pathway nodes.xlsx
Authors
- kong, chao ;
- Bing, Zhi-Tong ;
- Yang, Lei ;
- Huang, Zi-Gang ;
- Wang, Wen-Xu ;
- Grebogi, Celso
The Datasets Serve for the Misssion of Finding Convergent Transcriptomic Evidence about Dysfunctional Quantitative Mechanism of Synaptic Plasticity Control in ASD. Including: Supplementary File 1 Composition of nodes in Signal Network.xlsxSupplementary File 2 Regulation edges in Signal Network.xlsx Supplementary File 3 Syngo_annotations.xlsx Supplementary File 4 Annotation_SIGNOR and SignaLink_Omnipath.xlsx Supplementary File 5 mSiReN - network structure overall.csv Supplementary File 6 The activated nodes and edges from NIVaCaR.xlsx Supplementary File 7 Nodes Information and DE analysis about translation control and LTP or LTD related proteins and complexes.xlsx Supplementary File 8 ProComReN weights in best model.xlsx Supplementary File 9 The variation (sd) for cell types.xlsx Supplementary File 10 Targeted ncRNA with sub-pathway nodes.xlsx Supplementary File 11 String interactions with sub-pathway nodes.xlsx Supplementary File 12 SFARI with sub-pathway nodes.xlsx
Authors
- kong, chao ;
- Bing, Zhi-Tong ;
- Yang, Lei ;
- Huang, Zi-Gang ;
- Wang, Wen-Xu ;
- Grebogi, Celso
Data
Authors
- Meng, Yu ;
- Lai, Ying-Cheng ;
- Grebogi, Celso