Automated Author ProfilePalm, Martin
Palm, Martin
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: 1.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Biodiversity is critical for sustaining ecosystem functioning. Our inference, however, is based mainly on studies that have kept spatial scale constant and environmental heterogeneity to a minimum. We thus still know little about how the role of biodiversity changes with spatial scale and environmental heterogeneity. In this study we performed computer simulations to explore how the relationship between species richness and ecosystem functioning could be expected to change when local patches are aggregated into landscapes of increasing size. The expectations were tested in an experiment with five strains of E. coli under five different environmental conditions (defined by different sub-inhibitory antibiotics). We included all 31 possible strain combinations for each environment, yielding 155 unique local patch configurations and a total of 13860 patches with replication.
Authors
- Gamfeldt, Lars ;
- Roger, Fabian ;
- Palm, Martin ;
- Hagan, James ;
- Warringer, Jonas ;
- Farewell, Anne
Biodiversity is critical for sustaining ecosystem functioning. Our inference, however, is based mainly on studies that have kept spatial scale constant and environmental heterogeneity to a minimum. We thus still know little about how the role of biodiversity changes with spatial scale and environmental heterogeneity. In this study we performed computer simulations to explore how the relationship between species richness and ecosystem functioning could be expected to change when local patches are aggregated into landscapes of increasing size. The expectations were tested in an experiment with five strains of E. coli under five different environmental conditions (defined by different sub-inhibitory antibiotics). We included all 31 possible strain combinations for each environment, yielding 155 unique local patch configurations and a total of 13860 patches with replication.
Authors
- Gamfeldt, Lars ;
- Roger, Fabian ;
- Palm, Martin ;
- Hagan, James ;
- Warringer, Jonas ;
- Farewell, Anne