Automated Author ProfileFlis, Anna
Flis, Anna
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: 3.8 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This upload contains or links to the biological data, FMv2 model and simulations for the Chew et al. 2017 paper (bioRxiv https://doi.org/10.1101/105437 ), updated 2022 as bioRxiv https://doi.org/10.1101/105437v2, mostly testing and simulating the effect of a slow circadian clock in the prr7prr9 double mutant compared to the Col wild type plants, with controls in lsf1 and prr7 single mutants. This is one of the outputs from the EU TiMet project, https://fairdomhub.org/projects/92. Several data files contain results generated in the same studies, but not covered by the publication. For example, additional time points (18 or 21 days of growth), many additional metabolites, and additional genotypes including pgm, lhy cca1, and in one case, toc1 and gi. This data archive was updated during submisson to the journal _in Silico _Plants in 2022, and is formatted as a Research Object, generated by the Snapshot function of FairdomHub, based on Investigation https://fairdomhub.org/investigations/123. The same Snapshot is shared on FairdomHub and will be from the University of Edinburgh Datashare. We request that users gives appropriate credit to the authors of any data released here, as a norm of academic practice, including data released under CC-0 licence on the FairdomHub.
Authors
- Chew, Yin Hoon ;
- Seaton, Daniel D. ;
- Mengin, Virginie ;
- Flis, Anna ;
- Mugford, Sam T. ;
- George, Gavin M. ;
- Moulin, Michael ;
- Hume, Alastair ;
- Zeeman, Samuel C. ;
- Fitzpatrick, Teresa B. ;
- Smith, Alison M. ;
- Stitt, Mark ;
- Millar, Andrew
This upload contains or links to the biological data, FMv2 model and simulations for the Chew et al. 2017 paper (bioRxiv https://doi.org/10.1101/105437 ), updated 2022 as bioRxiv https://doi.org/10.1101/105437v2, mostly testing and simulating the effect of a slow circadian clock in the prr7prr9 double mutant compared to the Col wild type plants, with controls in lsf1 and prr7 single mutants. This is one of the outputs from the EU TiMet project, https://fairdomhub.org/projects/92. Several data files contain results generated in the same studies, but not covered by the publication. For example, additional time points (18 or 21 days of growth), many additional metabolites, and additional genotypes including pgm, lhy cca1, and in one case, toc1 and gi. This data archive was updated during submisson to the journal _in Silico _Plants in 2022, and is formatted as a Research Object, generated by the Snapshot function of FairdomHub, based on Investigation https://fairdomhub.org/investigations/123. The same Snapshot is shared on FairdomHub and will be from the University of Edinburgh Datashare. We request that users gives appropriate credit to the authors of any data released here, as a norm of academic practice, including data released under CC-0 licence on the FairdomHub.
Authors
- Chew, Yin Hoon ;
- Seaton, Daniel D. ;
- Mengin, Virginie ;
- Flis, Anna ;
- Mugford, Sam T. ;
- George, Gavin M. ;
- Moulin, Michael ;
- Hume, Alastair ;
- Zeeman, Samuel C. ;
- Fitzpatrick, Teresa B. ;
- Smith, Alison M. ;
- Stitt, Mark ;
- Millar, Andrew
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Frynas, Sławomir ;
- Łastawiecka, Elżbieta ;
- Kozioł, Anna E. ;
- Flis, Anna ;
- Pietrusiewicz, K. Michał
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Frynas, Sławomir ;
- Łastawiecka, Elżbieta ;
- Kozioł, Anna E. ;
- Flis, Anna ;
- Pietrusiewicz, K. Michał
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Korzeniowska, Ewelina ;
- Kozioł, Anna E. ;
- Łastawiecka, Elżbieta ;
- Flis, Anna ;
- Stankevič, Marek