Automated Author ProfileShibao Li
Xuzhou Medical University
Shibao Li
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: 0.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Mice were randomly divided into two groups: the Control group and the viral myocarditis group. At 7 days post-CVB3 infection, hearts were harvested in each group. Single-cell sequencing was performed on isolated and sorted Balb/c mouse heart cells. Single-cell suspensions were processed using the 10Genomics Chromium System to construct 3' gene expression v3.1 libraries, followed by sequencing on an Illumina Noveseq6000 sequencer.
Authors
- Shibao Li ;
- Tingjun Liu