Automated Author ProfileShams, Mahmoud
Shams, Mahmoud
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: 11.1 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Dataset name Normal COVID-19 Pneumonia Total MOMA- Dataset 234 221 148 603 MOMA Dataset are collected from three resources
Authors
- Shams, Mahmoud
Dataset name Normal COVID-19 Pneumonia Total MOMA- Dataset 234 221 148 603 MOMA Dataset are collected from three resources
Authors
- Shams, Mahmoud
Dataset name Normal COVID-19 Pneumonia Total MOMA- Dataset 234 221 148 603 MOMA Dataset are collected from three resources
Authors
- Shams, Mahmoud
Dataset name Normal COVID-19 Pneumonia Total MOMA- Dataset 234 221 148 603 MOMA Dataset are collected from three resources, in the following links [1] https://github.com/smfai200/Detecting-COVID-19-in-X-ray-images/tree/master/dataset. Accessed at 19/4/2020 2.10 am. [2] https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia?fbclid=IwAR2jzVPSL8-MdEX8_DlFVrN EKJlu0nOUSlaKOxa4kOitv4RPeemEDRqL2E accessed at 27/4/2020 10.20 am. [3] https://www.kaggle.com/bachrr/covid-chest-xray?fbclid=IwAR2kbLc1R3zqeC9lnBTAv5_lSB6XKVNGQlnilvH7uTI-M1rHGjJxYNLRb0k accessed at 27/4/2020 11.30 am.
Authors
- Shams, Mahmoud