Automated Organization ProfileInstitute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China
Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization'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: 7.7 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
A simulated dataset tailored for training the P-body detection model in article "PB-scope: Contrastive learning of dynamic processing body formation reveals undefined mechanisms of approved compounds."The dataset is meticulously structured in YOLO format, a standardized annotation framework widely adopted for object detection tasks, ensuring compatibility with cutting-edge deep learning pipelines. The pre-trained model weights for P-body detection in the article, are stored in the file detect_weight.pt.
Authors
- Tsuboi, Tatsuhisa ;
- Shen, Dexin
Dataset for "PB-scope: Contrastive learning of dynamic processing body formation reveals undefined mechanisms of approved compounds."
Authors
- Tsuboi, Tatsuhisa ;
- Shen, Dexin
Dataset for "PB-scope: Contrastive learning of dynamic processing body formation reveals undefined mechanisms of approved compounds."
Authors
- Tsuboi, Tatsuhisa ;
- Shen, Dexin
A simulated dataset tailored for training the P-body detection model in article "PB-scope: Contrastive learning of dynamic processing body formation reveals undefined mechanisms of approved compounds."The dataset is meticulously structured in YOLO format, a standardized annotation framework widely adopted for object detection tasks, ensuring compatibility with cutting-edge deep learning pipelines. The pre-trained model weights for P-body detection in the article, are stored in the file detect_weight.pt.
Authors
- Tsuboi, Tatsuhisa ;
- Shen, Dexin
A simulated dataset tailored for training the P-body detection model in article "PB-scope: Contrastive learning of dynamic processing body formation reveals undefined mechanisms of approved compounds."The dataset is meticulously structured in YOLO format, a standardized annotation framework widely adopted for object detection tasks, ensuring compatibility with cutting-edge deep learning pipelines. The pre-trained model weights for P-body detection in the article, are stored in the file detect_weight.pt.
Authors
- Tsuboi, Tatsuhisa ;
- Shen, Dexin