Automated Author ProfileDai, Yuting
Shanghai Jiao Tong University
Dai, Yuting
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 2. Table S1-5. Clinical information of Bulk-RNA seq (Table S1), scRNA-seq (Table S2), TMA (Table S3), FC (Table S4) and clinical information for experiments (Table S5). Table S6. Quality control and filtration. Table S7. Spatial feature expression plots of ACVR1B coexpressing with INHBA and in adjacent spot. Table S8. List of antibodies and chemical dyes. Table S9. qPCR Oligonucleotide Sequences. Table S10. Cell type-specific markers in the UMAP representation of PitNETs. Table S11. Specific markers of macrophages.
Authors
- Lin, Shaojian ;
- Dai, Yuting ;
- Han, Changxi ;
- Han, Tianyi ;
- Zhao, Linfeng ;
- Wu, Renyan ;
- Liu, Jianyue ;
- Zhang, Bo ;
- Huang, Ning ;
- Liu, Yanting ;
- Lai, Shujing ;
- Shi, Jintong ;
- Wang, Yu ;
- Lou, Meiqing ;
- Xie, Jing ;
- Cheng, Yijun ;
- Tang, Hao ;
- Yao, Hong ;
- Fang, Hai ;
- Zhang, Yan ;
- Wu, Xuefeng ;
- Shen, Lei ;
- Ye, Youqiong ;
- Xue, Li ;
- Wu, Zhe Bao
Additional file 2. Table S1-5. Clinical information of Bulk-RNA seq (Table S1), scRNA-seq (Table S2), TMA (Table S3), FC (Table S4) and clinical information for experiments (Table S5). Table S6. Quality control and filtration. Table S7. Spatial feature expression plots of ACVR1B coexpressing with INHBA and in adjacent spot. Table S8. List of antibodies and chemical dyes. Table S9. qPCR Oligonucleotide Sequences. Table S10. Cell type-specific markers in the UMAP representation of PitNETs. Table S11. Specific markers of macrophages.
Authors
- Lin, Shaojian ;
- Dai, Yuting ;
- Han, Changxi ;
- Han, Tianyi ;
- Zhao, Linfeng ;
- Wu, Renyan ;
- Liu, Jianyue ;
- Zhang, Bo ;
- Huang, Ning ;
- Liu, Yanting ;
- Lai, Shujing ;
- Shi, Jintong ;
- Wang, Yu ;
- Lou, Meiqing ;
- Xie, Jing ;
- Cheng, Yijun ;
- Tang, Hao ;
- Yao, Hong ;
- Fang, Hai ;
- Zhang, Yan ;
- Wu, Xuefeng ;
- Shen, Lei ;
- Ye, Youqiong ;
- Xue, Li ;
- Wu, Zhe Bao