Automated Author ProfileMeryem, Büyükyaka
CRC 1070 ResourceCultures
Meryem, Büyükyaka
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: 0.9 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The dataset contains the data associated with organic residue analysis (ORA), including chromatograms in .csv and .MzML formats, alongside an Excel table detailing sampling information. This repository entry pertains to the ORA analysis, conducted in the laboratory of the University of Tübingen under the supervision of Prof. Dr. Maxime Rageot (currently at the University of Bonn).The primary objective of this ORA analysis was to identfy the contenct of the amphora, especially because of a possible relationship between Lebanon and Cyprus.The protocol used for the solvent lipid extraction is the one explained at Mottram et al. 1999.
Authors
- Revert Francés, Elena ;
- Meryem, Büyükyaka ;
- Kamlah, Jens ;
- Rageot, Maxime