Automated Author ProfileShahri, Morteza Pourreza
Shahri, Morteza Pourreza
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: 0.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
ProPheno 1.0 is a dataset of proteins and phenotype names mentioned in biomedical literature. It provides a RESTful API which can be used in any programming language as well as a web interface for online access. Protein names are mentioned by their UniProt ids and phenotype names are mentioned by their corresponding HPO ids.ProPheno 1.0 provides protein names and phenotype names as separate tables for Medline abstracts and PubMed full-text articles.
Authors
- Shahri, Morteza Pourreza ;
- Indika Kahanda