Automated Author ProfileLexing Xie
Lexing Xie
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: 1.9 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This benchmark suite for ontology ranking includes a collection of ontologies that was retrieved by crawling a seed set of ontology URIs derived from prefix.cc and a set of queries derived based on their popularity from a real query log from the Linked Open Vocabularies search engine in the period between 06/01/2012 and 16/04/2014. Further, it includes the results for the ideal ranking of the concepts in the ontology collection for the identified set of query terms established based on the opinions of ten ontology engineering experts.
The ideal ranking is compared with eight state-of-the-art ranking algorithms and the precision at k, the mean average precision and the discounted cumulative gain is calculated for these algorithms representing a baseline to compare an ontology ranking model to.
Authors
- Butt, Anila ;
- Haller, Armin ;
- Lexing Xie