Automated Author ProfileSun, Sihuai
North West Agriculture and Forestry University
Sun, Sihuai
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: 7.4 (sum of 12 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Additional file 10: Table S6. Expression of the identified AI-2 synthases and receptors in rumen metatranscriptome datasets.
Authors
- Liu, Xiaozhen ;
- Liu, Qinmeng ;
- Sun, Sihuai ;
- Sun, Hengxi ;
- Wang, Yao ;
- Shen, Xihui ;
- Zhang, Lei
Additional file 10: Table S6. Expression of the identified AI-2 synthases and receptors in rumen metatranscriptome datasets.
Authors
- Liu, Xiaozhen ;
- Liu, Qinmeng ;
- Sun, Sihuai ;
- Sun, Hengxi ;
- Wang, Yao ;
- Shen, Xihui ;
- Zhang, Lei
Additional file 14: Table S7. The network among the rumen bacterial taxa and AI-2.
Authors
- Liu, Xiaozhen ;
- Liu, Qinmeng ;
- Sun, Sihuai ;
- Sun, Hengxi ;
- Wang, Yao ;
- Shen, Xihui ;
- Zhang, Lei
Additional file 14: Table S7. The network among the rumen bacterial taxa and AI-2.
Authors
- Liu, Xiaozhen ;
- Liu, Qinmeng ;
- Sun, Sihuai ;
- Sun, Hengxi ;
- Wang, Yao ;
- Shen, Xihui ;
- Zhang, Lei
Additional file 2: Table S2. The rumen microbiota and the presence of quorum sensing molecules.
Authors
- Liu, Xiaozhen ;
- Liu, Qinmeng ;
- Sun, Sihuai ;
- Sun, Hengxi ;
- Wang, Yao ;
- Shen, Xihui ;
- Zhang, Lei
Additional file 2: Table S2. The rumen microbiota and the presence of quorum sensing molecules.
Authors
- Liu, Xiaozhen ;
- Liu, Qinmeng ;
- Sun, Sihuai ;
- Sun, Hengxi ;
- Wang, Yao ;
- Shen, Xihui ;
- Zhang, Lei
Additional file 3: Table S3. The rumen microbiota and the presence of quorum sensing molecules in the rumen ecosystems of species including cattle, sheep, moose, deer, and bison (as the control group).
Authors
- Liu, Xiaozhen ;
- Liu, Qinmeng ;
- Sun, Sihuai ;
- Sun, Hengxi ;
- Wang, Yao ;
- Shen, Xihui ;
- Zhang, Lei
Additional file 3: Table S3. The rumen microbiota and the presence of quorum sensing molecules in the rumen ecosystems of species including cattle, sheep, moose, deer, and bison (as the control group).
Authors
- Liu, Xiaozhen ;
- Liu, Qinmeng ;
- Sun, Sihuai ;
- Sun, Hengxi ;
- Wang, Yao ;
- Shen, Xihui ;
- Zhang, Lei
Additional file 4: Table S4. The microbes and the presence of quorum sensing molecules in the pig gut (as the negative control group).
Authors
- Liu, Xiaozhen ;
- Liu, Qinmeng ;
- Sun, Sihuai ;
- Sun, Hengxi ;
- Wang, Yao ;
- Shen, Xihui ;
- Zhang, Lei
Additional file 4: Table S4. The microbes and the presence of quorum sensing molecules in the pig gut (as the negative control group).
Authors
- Liu, Xiaozhen ;
- Liu, Qinmeng ;
- Sun, Sihuai ;
- Sun, Hengxi ;
- Wang, Yao ;
- Shen, Xihui ;
- Zhang, Lei