Automated Author ProfilePaetau, Ritva
BioMag Laboratory, Helsinki University Hospital, Helsinki, Finland
Paetau, Ritva
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: 1.9 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The files contain an example of magnetoencephalographic, video, and audio data from an epilepsy patient recorded with the Helsinki VideoMEG Project (https://github.com/andreyzhd/VideoMEG) system.The patient's seizures manifested themselves as a loss of muscle tone in the right arm. Therefore, seizures could not be observed in the normal MEG setup where the patient is either seated or lying with the arms supported. To facilitate seizure detection, the patient was instructed to keep the hands raised during the recording. However, the patient was able to maintain this posture only for short periods, and had his arms resting on chair supports during most of the recording. For more details, see patient 6 in http://dx.doi.org/10.1016/j.eplepsyres.2013.02.017
Authors
- Zhadnov, Andrey ;
- Paetau, Ritva ;
- Wilenius, Juha