Automated Author ProfileLe Dévédec, Sylvia, E.
0000-0002-0615-9616
Le Dévédec, Sylvia, E.
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: 2.4 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Supporting data set for Burger et al. Density-dependent migration characteristics of cancer cells driven by pseudopod coordination. In preparation.
Authors
- Dévédec, Sylvia E. Le
Supporting data set for Burger et al. Density-dependent migration characteristics of cancer cells driven by pseudopod coordination. In preparation.
Authors
- Dévédec, Sylvia E. Le
Cell migration research has become a high-content field. However, the quantitative information encapsulated in these complex and high-dimensional datasets is not fully exploited due to the diversity of experimental protocols and non-standardised output formats. In addition, typically the datasets are not open for reuse. Making the data open and Findable, Accessible, Interoperable, and Reusable (FAIR) will enable meta-analysis, data integration, and data mining. Standardised data formats and controlled vocabularies are essential for building a suitable infrastructure for that purpose but are not available in the cell migration domain. We here present standardisation efforts by the Cell Migration Standardisation Organization, CMSO, an open community-driven organisation to facilitate the development of standards for cell migration data. This work will foster the development of improved algorithms and tools, and enable secondary analysis of public datasets, ultimately unlocking new knowledge of the complex biological process of cell migration.
Authors
- Gonzalez-Beltran, Alejandra, N. ;
- Masuzzo, Paola ;
- Ampe, Christophe ;
- Bakker, Gert-Jan ;
- Besson, Sébastien ;
- Eibl, Robert, H. ;
- Friedl, Peter ;
- Gunzer, Matthias ;
- Kittisopikul, Mark ;
- Le Dévédec, Sylvia, E. ;
- Leo, Simone ;
- Moore, Josh ;
- Paran, Yael ;
- Prilusky, Jaime ;
- Rocca-Serra, Philippe ;
- Roudot, Philippe ;
- Schuster, Marc ;
- Sergeant, Gwendolien ;
- Strömblad, Staffan ;
- Swedlow, Jason, R. ;
- van Erp, Merijn, van ;
- Van Troys, Marleen ;
- Zaritsky, Assaf ;
- Sansone, Susanna-Assunta ;
- Martens, Lennart