Automated Author ProfileHackl, Günter
READ-COOP
Hackl, Günter
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: 7.2 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The dataset comprises finnish newspaper pages from 19th century with carefully annotated text. The page images were provided by the National Library Finland (NLF) and comprise 200 pages (training set). The data are formed according to the PAGE format (cf. Cf. https://github.com/PRImA-Research-Lab/PAGE-XML/) and were produced with the Transkribus platform with support of the NewsEye and the READ project. The guidelines with which the AS GT was created are uploaded here as well.
Authors
- Muehlberger, Günter ;
- Hackl, Günter
The dataset comprises finnish newspaper pages from 19th century with carefully annotated text. The page images were provided by the National Library Finland (NLF) and comprise 200 pages (training set). The data are formed according to the PAGE format (cf. Cf. https://github.com/PRImA-Research-Lab/PAGE-XML/) and were produced with the Transkribus platform with support of the NewsEye and the READ project. The guidelines with which the AS GT was created are uploaded here as well.
Authors
- Muehlberger, Günter ;
- Hackl, Günter
The dataset comprises finnish newspaper pages from 19th century with carefully annotated text. The page images were provided by the National Library Finland (NLF) and comprise 200 pages (training set). The data are formed according to the PAGE format (cf. Cf. https://github.com/PRImA-Research-Lab/PAGE-XML/) and were produced with the Transkribus platform with support of the NewsEye and the READ project. The guidelines with which the AS GT was created are uploaded here as well.
Authors
- Muehlberger, Günter ;
- Hackl, Günter