Automated Author ProfileFadda, Elisa
University of Southampton
Fadda, Elisa
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: 0.3 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Curated set of LC-MS/MS data from glycomics studies. Used for training and applying CandyCrunch, a deep learning model to predict glycan structure from LC-MS/MS data, described in Urban et al., Nat Methods, 2024 and https://github.com/BojarLab/CandyCrunch.Files:full_dataset.xlsx: Full dataset with all annotated LC-MS/MS glycan spectraX_train.pkl: spectra and metadata from our training sety_train.pkl: labels from our training setX_test.pkl: spectra and metadata from our independent test sety_test.pkl: labels from our independent test setglycans.pkl: glycans in IUPAC-condensed nomenclature in the same order as the label-encoding
Authors
- Urban, James ;
- Chunsheng, Jin ;
- Thomsson, Kristina A. ;
- Karlsson, Niclas G. ;
- Ives, Callum M. ;
- Fadda, Elisa ;
- Bojar, Daniel
Curated set of LC-MS/MS data from glycomics studies. Used for training and applying CandyCrunch, a deep learning model to predict glycan structure from LC-MS/MS data, described in Urban et al., Nat Methods, 2024 and https://github.com/BojarLab/CandyCrunch.Files:full_dataset.xlsx: Full dataset with all annotated LC-MS/MS glycan spectraX_train.pkl: spectra and metadata from our training sety_train.pkl: labels from our training setX_test.pkl: spectra and metadata from our independent test sety_test.pkl: labels from our independent test setglycans.pkl: glycans in IUPAC-condensed nomenclature in the same order as the label-encoding
Authors
- Urban, James ;
- Chunsheng, Jin ;
- Thomsson, Kristina A. ;
- Karlsson, Niclas G. ;
- Ives, Callum M. ;
- Fadda, Elisa ;
- Bojar, Daniel