Automated Author ProfileOyekunle, W. A.
Obafemi Awolowo University
Oyekunle, W. A.
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
ASZED (African Schizophrenia EEG Dataset) is the first publicly available EEG dataset from African indigenous populations for schizophrenia studies. The dataset contains EEG recordings from 76 schizophrenia patients and 77 healthy controls across multiple paradigms: resting state, cognitive tasks, auditory oddball (MMN), and 40Hz stimulation (ASSR). Recorded at two Nigerian sites using standardized protocols, ASZED aims to improve representation of African populations in computational psychiatric research.
Authors
- Mosaku, K.S. ;
- Olateju, E. O. ;
- Ayodele, K.P. ;
- Akinsulore, A. ;
- Ajiboye, P.O. ;
- Ayorinde, A. ;
- Agboola, O. ;
- Obayiuwana, E. ;
- Akinwale, O. B. ;
- Oyekunle, W. A.
ASZED (African Schizophrenia EEG Dataset) is the first publicly available EEG dataset from African indigenous populations for schizophrenia studies. The dataset contains EEG recordings from 76 schizophrenia patients and 77 healthy controls across multiple paradigms: resting state, cognitive tasks, auditory oddball (MMN), and 40Hz stimulation (ASSR). Recorded at two Nigerian sites using standardized protocols, ASZED aims to improve representation of African populations in computational psychiatric research.
Authors
- Mosaku, K.S. ;
- Olateju, E. O. ;
- Ayodele, K.P. ;
- Akinsulore, A. ;
- Ajiboye, P.O. ;
- Ayorinde, A. ;
- Agboola, O. ;
- Obayiuwana, E. ;
- Akinwale, O. B. ;
- Oyekunle, W. A.