Automated Author ProfileVáradyová, Zora
Váradyová, Zora
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: 5.2 (sum of 11 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Dataset of DGGE eubacteria analysisDataset of feces fermentation products analysis
Authors
- Kišidayová, Svetlana ;
- Pristas, Peter ;
- Váradyová, Zora ;
- Kopčaková, Anna ;
- Mravčáková, Dominika
Dataset of DGGE eubacteria analysisDataset of feces fermentation products analysis
Authors
- Kišidayová, Svetlana ;
- Pristas, Peter ;
- Váradyová, Zora ;
- Kopčaková, Anna ;
- Mravčáková, Dominika
Dataset of DGGE eubacteria analysisDataset of feces fermentation products analysis
Authors
- Kišidayová, Svetlana ;
- Pristas, Peter ;
- Váradyová, Zora ;
- Kopčaková, Anna ;
- Mravčáková, Dominika
Dataset of DGGE eubacteria analysisDataset of feces fermentation products analysis
Authors
- Kišidayová, Svetlana ;
- Pristas, Peter ;
- Váradyová, Zora ;
- Kopčaková, Anna ;
- Mravčáková, Dominika
Dataset of DGGE analysisDataset of feces fermentation products analysis
Authors
- Kišidayová, Svetlana ;
- Pristas, Peter ;
- Váradyová, Zora ;
- Kopčaková, Anna ;
- Mravčáková, Dominika
Dataset of DGGE eubacteria analysisDataset of feces fermentation products analysis
Authors
- Kišidayová, Svetlana ;
- Pristas, Peter ;
- Váradyová, Zora ;
- Kopčaková, Anna ;
- Mravčáková, Dominika
Dataset of DGGE eubacteria analysisDataset of feces fermentation products analysis
Authors
- Kišidayová, Svetlana ;
- Pristas, Peter ;
- Váradyová, Zora ;
- Kopčaková, Anna ;
- Mravčáková, Dominika
Dataset of DGGE eubacteria analysisDataset of feces fermentation products analysis
Authors
- Kišidayová, Svetlana ;
- Pristas, Peter ;
- Váradyová, Zora ;
- Kopčaková, Anna ;
- Mravčáková, Dominika
The effects of high dose of two manganese supplements (organic and inorganic) on the rumen microbial ecosystem after four months of treatment of 18 lambs divided into three treatment groups were studied. We examined the enzyme activities (α-amylase, xylanase, and carboxymethyl cellulase), total and differential microscopic counts of rumen ciliates, total microscopic counts of bacteria, and fingerprinting pattern of the eubacterial and ciliates population analyzed by PCR-DGGE.
Authors
- Kišidayová, Svetlana ;
- Pristaš, Peter ;
- Zimovčáková, Michaela ;
- Wencelová, Monika Blanár ;
- Homoľová, Lucia ;
- Mihaliková, Katarína ;
- Čobanová, Klaudia ;
- Ľubomíra Grešáková ;
- Váradyová, Zora
The effects of high dose of two manganese supplements (organic and inorganic) on the rumen microbial ecosystem after four months of treatment of 18 lambs divided into three treatment groups were studied. We examined the enzyme activities (α-amylase, xylanase, and carboxymethyl cellulase), total and differential microscopic counts of rumen ciliates, total microscopic counts of bacteria, and fingerprinting pattern of the eubacterial and ciliates population analyzed by PCR-DGGE.
Authors
- Kišidayová, Svetlana ;
- Pristaš, Peter ;
- Zimovčáková, Michaela ;
- Wencelová, Monika Blanár ;
- Homoľová, Lucia ;
- Mihaliková, Katarína ;
- Čobanová, Klaudia ;
- Ľubomíra Grešáková ;
- Váradyová, Zora