Automated Author ProfileGerritsen, Bram
Gerritsen, Bram
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: 0.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This file is a snapshot of all data included in the Immune Signatures Data Resource, which can be browsed in greater detail on ImmuneSpace at www.immunespace.org/is2.url.
Vaccines are among the most cost-effective public health interventions for preventing infection-induced morbidity and mortality, yet much remains to be learned regarding mechanisms. The NIH/NIAID Human Immunology Project Consortium(HIPC) has leveraged systems immunology approaches to identify molecular signatures of immunogenicity in many vaccines. These data are available to the scientific community through the ImmuneSpace data portal and analysis engine leveraging the NIH/NIAID ImmPort repository. However, a barrier to progress in this area is that comparative vaccine analyses have been limited by the distributed nature of some data, potential confounders, and the absence of relevant studies in ImmPort. To support comparative analysis, we have created the Immune Signatures Data Resource, a compendium of standardized systems vaccinology datasets available through ImmuneSpace, along with code to reproduce the standardization pipeline. The current release comprises 1405 participants from 53 cohorts profiling the response to 24 vaccines and includes transcriptional profiles and antibody response measurements. This novel compendium represents a valuable resource for comparative analyses that will accelerate our understanding of mechanisms underlying vaccine responses.
Authors
- Diray-Arce, Joann ;
- ImmuneSpace ;
- Henrich, Evan ;
- Gerritsen, Bram ;
- Mulé, Matthew P. ;
- Fourati, Slim ;
- Gygi, JeremyP. ;
- Hagan, Thomas ;
- Tomalin, Lewis E. ;
- Rychkov, Dmitry ;
- Kazmin, Dmitri ;
- Chawla, Daniel G ;
- Meng, Hailong ;
- Dunn, Patrick ;
- Campbell, John ;
- Sarwal, Minnie ;
- Tsang, John S. ;
- Levy, Ofer ;
- Pulendran, Bali ;
- Sekaly, Rafick ;
- Floratos, Aris ;
- Gottardo, Raphael ;
- H. Kleinstein, Steven ;
- Suárez-Fariñas, Mayte
This file is a snapshot of all data included in the Immune Signatures Data Resource, which can be browsed in greater detail on ImmuneSpace at www.immunespace.org/is2.url.
Vaccines are among the most cost-effective public health interventions for preventing infection-induced morbidity and mortality, yet much remains to be learned regarding mechanisms. The NIH/NIAID Human Immunology Project Consortium(HIPC) has leveraged systems immunology approaches to identify molecular signatures of immunogenicity in many vaccines. These data are available to the scientific community through the ImmuneSpace data portal and analysis engine leveraging the NIH/NIAID ImmPort repository. However, a barrier to progress in this area is that comparative vaccine analyses have been limited by the distributed nature of some data, potential confounders, and the absence of relevant studies in ImmPort. To support comparative analysis, we have created the Immune Signatures Data Resource, a compendium of standardized systems vaccinology datasets available through ImmuneSpace, along with code to reproduce the standardization pipeline. The current release comprises 1405 participants from 53 cohorts profiling the response to 24 vaccines and includes transcriptional profiles and antibody response measurements. This novel compendium represents a valuable resource for comparative analyses that will accelerate our understanding of mechanisms underlying vaccine responses.
Authors
- Diray-Arce, Joann ;
- Miller, Helen ;
- Henrich, Evan ;
- Gerritsen, Bram ;
- Mulé, Matthew P. ;
- Fourati, Slim ;
- Gygi, JeremyP. ;
- Hagan, Thomas ;
- Tomalin, Lewis E. ;
- Rychkov, Dmitry ;
- Kazmin, Dmitri ;
- Chawla, Daniel G ;
- Meng, Hailong ;
- Dunn, Patrick ;
- Campbell, John ;
- Sarwal, Minnie ;
- Tsang, John S. ;
- Levy, Ofer ;
- Pulendran, Bali ;
- Sekaly, Rafick ;
- Floratos, Aris ;
- Gottardo, Raphael ;
- H. Kleinstein, Steven ;
- Suárez-Fariñas, Mayte