Automated Author ProfileSchlesger, Magdalene Isabell
Department of Clinical Neurobiology at the Medical Faculty of Heidelberg University and German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany0000-0002-8586-2309
Schlesger, Magdalene Isabell
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: 0.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data used for the paper "Distinct spatial maps and multiple object codes in the lateral entorhinal cortex". For each open field trial of each recording session, there are two files ("sop" with spike times and x-y position of the mouse at that time, plus cell number, and "xyPath" with all tracking data from that trial, i.e., x-y position and time). Naming is as follows: mouseName-date-0107_trialNumber (e.g. ib5718-16092021-0107_2) Code for analysis of the raw data is deposited in GitHub: https://github.com/isabarriuso/LEC_maps_2023/
Authors
- Huang, Xu ;
- Schlesger, Magdalene Isabell ;
- Barriuso-Ortega, Isabel ;
- Leibold, Christian ;
- MacLaren, Duncan ;
- Bieber, Nina ;
- Monyer, Hannah
Data used for the paper "Distinct spatial maps and multiple object codes in the lateral entorhinal cortex". For each open field trial of each recording session, there are two files ("sop" with spike times and x-y position of the mouse at that time, plus cell number, and "xyPath" with all tracking data from that trial, i.e., x-y position and time). Naming is as follows: mouseName-date-0107_trialNumber (e.g. ib5718-16092021-0107_2) Code for analysis of the raw data is deposited in GitHub: https://github.com/isabarriuso/LEC_maps_2023/
Authors
- Huang, Xu ;
- Schlesger, Magdalene Isabell ;
- Barriuso-Ortega, Isabel ;
- Leibold, Christian ;
- MacLaren, Duncan ;
- Bieber, Nina ;
- Monyer, Hannah