Automated Author ProfileHoffmann, Michael
Magdeburg University, Magdeburg, Germany
Hoffmann, Michael
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: 2.9 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Extension of the dataset published in Hanke et al. (2014; doi:10.1038/sdata.2014.3) with additional acquisitions for 15 of the original 20 particpants. These additions include: retinotopic mapping, a localizer paradigm for higher visual areas (FFA, EBA, PPA), and another 2h movie recording with 3T full-brain BOLD fMRI with simultaneous 1000 Hz eyetracking.Only open-source software was employed in this study. We thank their respective authors for making it publicly available.Please follow good scientific practice by citing the most appropriate publication(s) describing the aspects of this datasets that were used in a study.
Authors
- Hanke, Michael ;
- Adelhöfer, Nico ;
- Kaule, Falko R. ;
- Sengupta, Ayan ;
- Guntupalli, J. Swaroop ;
- Häusler, Christian ;
- Hoffmann, Michael ;
- Baumgartner, Florian J. ;
- Stadler, Jörg