Automated Author ProfileWichard, Thomas
Institute for Inorganic and Analytical Chemistry, Friedrich Schiller University, Jena,
Wichard, Thomas
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: 2.1 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This data set contains supplementary data related to the paper: “Insights into the potential for mutualistic and harmful host–microbe interactions affecting brown alga freshwater acclimation”: https://onlinelibrary.wiley.com/doi/10.1111/mec.16766Metagenome.zip:This archive contains the reconstructed genomes of the different bacterial bins. The ".gbk" file was used for the reconstruction of metabolic networks. The ".fsa" and ".gff" files were used for "read mapping".Metabolic_networks.zip:This archive contains all bacterial networks in the "padmet" format (see Aite et al. 2018). Furthermore, there is one file containing all gene-reaction associations (for all bins).Expression_data.zip:This file contains algal gene expression data, bacterial gene expression data (number of reads mapping to each feature in each sample), and, lastly, the summarized bacterial expression per metabolic reaction.
Authors
- KleinJan, Hetty ;
- Caliafano, Gianmaria ;
- Aite, Méziane ;
- Fremy, Enora ;
- Frioux, Clémence ;
- Karimi, Elham ;
- Corre, Erwan ;
- Wichard, Thomas ;
- Siegel, Anne ;
- Boyen, Catherine ;
- Dittami, Simon
This data set contains supplementary data related to the paper: “Insights into the potential for mutualistic and harmful host–microbe interactions affecting brown alga freshwater acclimation”: https://onlinelibrary.wiley.com/doi/10.1111/mec.16766Metagenome.zip:This archive contains the reconstructed genomes of the different bacterial bins. The ".gbk" file was used for the reconstruction of metabolic networks. The ".fsa" and ".gff" files were used for "read mapping".Metabolic_networks.zip:This archive contains all bacterial networks in the "padmet" format (see Aite et al. 2018). Furthermore, there is one file containing all gene-reaction associations (for all bins).Expression_data.zip:This file contains algal gene expression data, bacterial gene expression data (number of reads mapping to each feature in each sample), and, lastly, the summarized bacterial expression per metabolic reaction.
Authors
- KleinJan, Hetty ;
- Caliafano, Gianmaria ;
- Aite, Méziane ;
- Fremy, Enora ;
- Frioux, Clémence ;
- Karimi, Elham ;
- Corre, Erwan ;
- Wichard, Thomas ;
- Siegel, Anne ;
- Boyen, Catherine ;
- Dittami, Simon