Automated Author ProfileMumenthaler, Shannon
Mumenthaler, Shannon
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: 6.7 (sum of 8 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Raw data. This spreadsheet contains the raw data used for Fig. 2, as well as the experimental setup. (XLSX 15 kb)
Authors
- Juarez, Edwin ;
- Lau, Roy ;
- Friedman, Samuel ;
- Ahmadreza Ghaffarizadeh ;
- Jonckheere, Edmond ;
- Agus, David ;
- Mumenthaler, Shannon ;
- Macklin, Paul
Source code. This folder contains the Python code with the version of CellPD used throughout this manuscript. (ZIP 554Â kb)
Authors
- Juarez, Edwin ;
- Lau, Roy ;
- Friedman, Samuel ;
- Ahmadreza Ghaffarizadeh ;
- Jonckheere, Edmond ;
- Agus, David ;
- Mumenthaler, Shannon ;
- Macklin, Paul
Synthetic data. This folder contains the synthetic data used for Fig. 3 and Additional file 4. Additionally, it contains the python scripts that were used to make the synthetic data, Fig. 3, and Additional file 4: Figure S9-1. (ZIP 890 kb)
Authors
- Juarez, Edwin ;
- Lau, Roy ;
- Friedman, Samuel ;
- Ahmadreza Ghaffarizadeh ;
- Jonckheere, Edmond ;
- Agus, David ;
- Mumenthaler, Shannon ;
- Macklin, Paul
Example of CellPDâ s outputs. This folder contains two examples of the outputs generated by CellPD (using the data from Fig. 2 and Additional file 6). (ZIP 36462 kb)
Authors
- Juarez, Edwin ;
- Lau, Roy ;
- Friedman, Samuel ;
- Ahmadreza Ghaffarizadeh ;
- Jonckheere, Edmond ;
- Agus, David ;
- Mumenthaler, Shannon ;
- Macklin, Paul
Example of CellPDâ s outputs. This folder contains two examples of the outputs generated by CellPD (using the data from Fig. 2 and Additional file 6). (ZIP 36462 kb)
Authors
- Juarez, Edwin ;
- Lau, Roy ;
- Friedman, Samuel ;
- Ahmadreza Ghaffarizadeh ;
- Jonckheere, Edmond ;
- Agus, David ;
- Mumenthaler, Shannon ;
- Macklin, Paul
Synthetic data. This folder contains the synthetic data used for Fig. 3 and Additional file 4. Additionally, it contains the python scripts that were used to make the synthetic data, Fig. 3, and Additional file 4: Figure S9-1. (ZIP 890 kb)
Authors
- Juarez, Edwin ;
- Lau, Roy ;
- Friedman, Samuel ;
- Ahmadreza Ghaffarizadeh ;
- Jonckheere, Edmond ;
- Agus, David ;
- Mumenthaler, Shannon ;
- Macklin, Paul
Source code. This folder contains the Python code with the version of CellPD used throughout this manuscript. (ZIP 554Â kb)
Authors
- Juarez, Edwin ;
- Lau, Roy ;
- Friedman, Samuel ;
- Ahmadreza Ghaffarizadeh ;
- Jonckheere, Edmond ;
- Agus, David ;
- Mumenthaler, Shannon ;
- Macklin, Paul
Raw data. This spreadsheet contains the raw data used for Fig. 2, as well as the experimental setup. (XLSX 15 kb)
Authors
- Juarez, Edwin ;
- Lau, Roy ;
- Friedman, Samuel ;
- Ahmadreza Ghaffarizadeh ;
- Jonckheere, Edmond ;
- Agus, David ;
- Mumenthaler, Shannon ;
- Macklin, Paul