Automated Author ProfileKäller, Max
Käller, Max
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: 0.0 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains levels of circulating antibodies and proteins measured in dried blood spot (DBS) samples. Study participants from the general population in Stockholm and Gothenburg (Sweden) self-sampled blood using sampling kits (Capitainer AB) during the spring of 2021.Levels of circulating antibodies were determined by multi-analyte serology using the Luminex platform. The data has been processed and normalised using a mixed model, followed by a Z-score transformation.Levels of circulating proteins were determined by proximity extension assays using the Olink Explore Inflammation panel from the Olink platform and NULISA-Seq using the 250-plex inflammation panel from Alamar Biosciences. The raw data has been processed using ProtPQN, followed by a Z-score transformation.The files contain the following data and information:antigen_info.csv: Information about the antigens used in the serology assays.protein_data.csv: Proteomics measurements in wide format (each row a sample, each column a protein).protein_info.csv: Information about the proteins included in the proteomics assays.sample_info.csv: Information about the samples.serology_data.csv: Serological measurements in wide format.readme.txt: Additional details about the file contents.Access to this data can be granted for non-commercial validation purposes and upon reasonable request to the provided contact. A reasonable request should contain the following:Name of PI and host organisationContact detailsThe scientific purpose of the data access requestCommitment to inform when the data has been used in a publicationCommitment not to host or share the data outside the requesting organisationStatement of non-commercial use of data
Authors
- Dahl, Leo ;
- Bendes, Annika ;
- Bueno Alvez, Maria ;
- Albrecht, Vincent ;
- Aghelpasand, Hooman ;
- Björkander, Sofia ;
- Merid, Simon Kebede ;
- Mezger, Anja ;
- Käller, Max ;
- Fredolini, Claudia ;
- Torinsson Naluai, Åsa ;
- Beck, Olof ;
- Melén, Erik ;
- Bauer, Stefan ;
- Gisslén, Magnus ;
- Roxhed, Niclas ;
- Schwenk, Jochen