Automated Author ProfileZygmunt, Magdalena
Zygmunt, Magdalena
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: 20.7 (sum of 28 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Additional file 6: Table S5. The results of pair-wise differential expression analysis of samples in each group using Cuffdiff. Three comparisons are presented: C vs RAA; C vs RAC, RAA vs RAC. At the transcript-level 148 differential expressed units were identified (q-valuesâ
Authors
- Korostynski, Michal ;
- Piechota, Marcin ;
- Morga, Rafal ;
- Dzesika Hoinkis ;
- Slawomir Golda ;
- Zygmunt, Magdalena ;
- Dziedzic, Tomasz ;
- Moskala, Marek ;
- Slowik, Agnieszka ;
- Pera, Joanna
Additional file 6: Table S5. The results of pair-wise differential expression analysis of samples in each group using Cuffdiff. Three comparisons are presented: C vs RAA; C vs RAC, RAA vs RAC. At the transcript-level 148 differential expressed units were identified (q-valuesâ
Authors
- Korostynski, Michal ;
- Piechota, Marcin ;
- Morga, Rafal ;
- Dzesika Hoinkis ;
- Slawomir Golda ;
- Zygmunt, Magdalena ;
- Dziedzic, Tomasz ;
- Moskala, Marek ;
- Slowik, Agnieszka ;
- Pera, Joanna
Additional file 5: Table S4. The results of the functional enrichment analyses performed with the Enrichr tool. WikiPathways, GO Biological processes, ChEA and GeneAtlas categories for the up- and downregulated genes in response to IA-rupture are included. The table consists of an enriched term, the number of input genes in the pathway (overlap), the p value (pâ
Authors
- Korostynski, Michal ;
- Piechota, Marcin ;
- Morga, Rafal ;
- Dzesika Hoinkis ;
- Slawomir Golda ;
- Zygmunt, Magdalena ;
- Dziedzic, Tomasz ;
- Moskala, Marek ;
- Slowik, Agnieszka ;
- Pera, Joanna
Additional file 5: Table S4. The results of the functional enrichment analyses performed with the Enrichr tool. WikiPathways, GO Biological processes, ChEA and GeneAtlas categories for the up- and downregulated genes in response to IA-rupture are included. The table consists of an enriched term, the number of input genes in the pathway (overlap), the p value (pâ
Authors
- Korostynski, Michal ;
- Piechota, Marcin ;
- Morga, Rafal ;
- Dzesika Hoinkis ;
- Slawomir Golda ;
- Zygmunt, Magdalena ;
- Dziedzic, Tomasz ;
- Moskala, Marek ;
- Slowik, Agnieszka ;
- Pera, Joanna
Additional file 1: Table S1. Validation of different biotypes of transcriptional variants regulated in response to IA rupture. Selected transcriptional variants (from the list included in Additional file 4: Table S3) were validated by using qPCR. The results are presented as the fold change with respect to the control group with a standard error of the mean (nâ =â 10 to 14). Significant differences in the main effects from one-way ANOVA for the clinical status factor.
Authors
- Korostynski, Michal ;
- Piechota, Marcin ;
- Morga, Rafal ;
- Dzesika Hoinkis ;
- Slawomir Golda ;
- Zygmunt, Magdalena ;
- Dziedzic, Tomasz ;
- Moskala, Marek ;
- Slowik, Agnieszka ;
- Pera, Joanna
Additional file 4: Table S3. ANOVA results of expression profiling of transcripts regulated in response to IA rupture in peripheral blood. A table summarizing the results of the one-way ANOVA (FDRâ
Authors
- Korostynski, Michal ;
- Piechota, Marcin ;
- Morga, Rafal ;
- Dzesika Hoinkis ;
- Slawomir Golda ;
- Zygmunt, Magdalena ;
- Dziedzic, Tomasz ;
- Moskala, Marek ;
- Slowik, Agnieszka ;
- Pera, Joanna
Additional file 4: Table S3. ANOVA results of expression profiling of transcripts regulated in response to IA rupture in peripheral blood. A table summarizing the results of the one-way ANOVA (FDRâ
Authors
- Korostynski, Michal ;
- Piechota, Marcin ;
- Morga, Rafal ;
- Dzesika Hoinkis ;
- Slawomir Golda ;
- Zygmunt, Magdalena ;
- Dziedzic, Tomasz ;
- Moskala, Marek ;
- Slowik, Agnieszka ;
- Pera, Joanna
Additional file 2: Table S2. The specific IA-altered transcriptional variants of genes used for L/MN index calculation. The L/MN index was calculated as the ratio of the mean folds of standardized expression levels of lymphocyte-related genes (BCL11B, CCR7, CD2, CD27, CD3D, CD3E, CD8A, and KLRB1) to those of monocyte-and-neutrophil-related genes (ANXA3, ARG1, CD14, GYG1, FCGR1A, FCGR2A, IRAK3, and MMP9). L = lymphocyte-specific gene; M = monocyte-specific gene.
Authors
- Korostynski, Michal ;
- Piechota, Marcin ;
- Morga, Rafal ;
- Dzesika Hoinkis ;
- Slawomir Golda ;
- Zygmunt, Magdalena ;
- Dziedzic, Tomasz ;
- Moskala, Marek ;
- Slowik, Agnieszka ;
- Pera, Joanna
Additional file 2: Table S2. The specific IA-altered transcriptional variants of genes used for L/MN index calculation. The L/MN index was calculated as the ratio of the mean folds of standardized expression levels of lymphocyte-related genes (BCL11B, CCR7, CD2, CD27, CD3D, CD3E, CD8A, and KLRB1) to those of monocyte-and-neutrophil-related genes (ANXA3, ARG1, CD14, GYG1, FCGR1A, FCGR2A, IRAK3, and MMP9). L = lymphocyte-specific gene; M = monocyte-specific gene.
Authors
- Korostynski, Michal ;
- Piechota, Marcin ;
- Morga, Rafal ;
- Dzesika Hoinkis ;
- Slawomir Golda ;
- Zygmunt, Magdalena ;
- Dziedzic, Tomasz ;
- Moskala, Marek ;
- Slowik, Agnieszka ;
- Pera, Joanna
Additional file 1: Table S1. Validation of different biotypes of transcriptional variants regulated in response to IA rupture. Selected transcriptional variants (from the list included in Additional file 4: Table S3) were validated by using qPCR. The results are presented as the fold change with respect to the control group with a standard error of the mean (nâ =â 10 to 14). Significant differences in the main effects from one-way ANOVA for the clinical status factor.
Authors
- Korostynski, Michal ;
- Piechota, Marcin ;
- Morga, Rafal ;
- Dzesika Hoinkis ;
- Slawomir Golda ;
- Zygmunt, Magdalena ;
- Dziedzic, Tomasz ;
- Moskala, Marek ;
- Slowik, Agnieszka ;
- Pera, Joanna