Automated Author ProfileBernabeu, Miguel O.
Bernabeu, Miguel O.
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: 1.1 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The tumour microenvironment is abnormal and one of its consequences is that blood vessels are compressed. Vessel compression correlates with reduced survival rates, while decompression of vessels improves tissue oxygenation as well as increases survival rates. It was previously shown that vessel compression contributes, at a single vascular bifurcation, to the increase of heterogeneity of red blood cell transport. This dataset contains the result of a simulation of blood flow (Poiseuille flow) through a compressed network, showing the effect of vessel compression on haematocrit distribution. It additionally contains the critical bifurcations in the network that are responsible for diverting blood flow away from the compressed region.
Authors
- Enjalbert, Romain ;
- Bernabeu, Miguel O. ;
- Krüger, Timm