Automated Author ProfileChaumeil, Pierre-Alain
Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, QLD 4072, Australia
Chaumeil, Pierre-Alain
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