Automated Author ProfileTaherizadeh, Salman
Taherizadeh, Salman
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: 1.8 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The entire ontology including the testing data was evaluated by first using the HermiT validation reasoner and later the Pellet reasoned too. The focus here is to adequately incorporate the data models in the ontology. The syntax and the standards are the same as in the previous version of the ontology, but the table representation is updated. By doing this, we want to strictly split the data properties (attributes) and the object properties (relational data) to induce a higher expressivity level of the ontology. We devoted special attention to the selection of types in data properties aiming to use only fully supported data types in Resource Description Framework (RDF) and Web Ontology Language (OWL).
Authors
- Gec, Sandi ;
- Stankovski, Vlado ;
- Paščinski, Uroš ;
- Taherizadeh, Salman ;
- Trnkoczy, Jernej ;
- Cigale, Matej ;
- Dobnikar, Jan