Automated Author ProfileRinke, Christian
Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, QLD 4072, Australia
Rinke, Christian
Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, QLD 4072, Australia
Current S-Index
2.5
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
1.2
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
50.0%
Average FAIR Score per dataset
Total Citations
0
Total citations to the author's datasets
Total Mentions
0
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: 2.5 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
GTDB R04-RS89 Release date: June 17th, 2019 GTDB R04-RS89 contains 23,458 bacterial and 1,248 archaeal species clusters which span 145,904 genomes.
Additional information ---------------------- Please consult the following GTDB publications for additional information: Parks, D. H., et al. (2018). A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life. Nature Biotechnology, 36: 996-1004. Parks DH, et al. (2019). Selection of representative genomes for 24,706 bacterial and archaeal species clusters provide a complete genome-based taxonomy. bioRxiv: https://doi.org/10.1101/771964 Chaumeil P-A, et al. (2019). GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database. Bioinformatics, btz848: https://doi.org/10.1093/bioinformatics/btz848.
Authors
- Parks, Donovan H. ;
- Chuvochina, Maria ;
- Chaumeil, Pierre-Alain ;
- Rinke, Christian ;
- Mussig, Aaron J. ;
- Hugenholtz, Philip
0 Citations0 Mentions50% FAIR1.2 Dataset Index
10.5281/zenodo.3873392June 2019
GTDB R04-RS89 Release date: June 17th, 2019 GTDB R04-RS89 contains 23,458 bacterial and 1,248 archaeal species clusters which span 145,904 genomes.
Additional information ---------------------- Please consult the following GTDB publications for additional information: Parks, D. H., et al. (2018). A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life. Nature Biotechnology, 36: 996-1004. Parks DH, et al. (2019). Selection of representative genomes for 24,706 bacterial and archaeal species clusters provide a complete genome-based taxonomy. bioRxiv: https://doi.org/10.1101/771964 Chaumeil P-A, et al. (2019). GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database. Bioinformatics, btz848: https://doi.org/10.1093/bioinformatics/btz848.
Authors
- Parks, Donovan H. ;
- Chuvochina, Maria ;
- Chaumeil, Pierre-Alain ;
- Rinke, Christian ;
- Mussig, Aaron J. ;
- Hugenholtz, Philip
0 Citations0 Mentions50% FAIR1.2 Dataset Index
10.5281/zenodo.3873391June 2019