Automated Author ProfileKinzel, Bernd
Kinzel, Bernd
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: 5.1 (sum of 6 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Table of miRNA raw counts. Raw counts from sequencing of each of the small miRNA libraries. The number of sequences that correspond to each miRNA is listed. (XLSM 60Â kb)
Authors
- Riccardi, Sabrina ;
- Bergling, Sebastian ;
- Sigoillot, Frederic ;
- Beibel, Martin ;
- Werner, Annick ;
- Leighton-Davies, Juliet ;
- Knehr, Judith ;
- Tewis Bouwmeester ;
- Parker, Christian ;
- Roma, Guglielmo ;
- Kinzel, Bernd
Number of miRSeq reads and alignment statistics. (XLSM 8Â kb)
Authors
- Riccardi, Sabrina ;
- Bergling, Sebastian ;
- Sigoillot, Frederic ;
- Beibel, Martin ;
- Werner, Annick ;
- Leighton-Davies, Juliet ;
- Knehr, Judith ;
- Tewis Bouwmeester ;
- Parker, Christian ;
- Roma, Guglielmo ;
- Kinzel, Bernd
Table of miRNAs normalized in reads-per-million (RPM). The number of reads of each miRNA was normalized by dividing the raw counts by the total number of million aligned reads per sample, i.e. reads per million (RPM). (XLSM 98Â kb)
Authors
- Riccardi, Sabrina ;
- Bergling, Sebastian ;
- Sigoillot, Frederic ;
- Beibel, Martin ;
- Werner, Annick ;
- Leighton-Davies, Juliet ;
- Knehr, Judith ;
- Tewis Bouwmeester ;
- Parker, Christian ;
- Roma, Guglielmo ;
- Kinzel, Bernd
Table of miRNAs normalized in reads-per-million (RPM). The number of reads of each miRNA was normalized by dividing the raw counts by the total number of million aligned reads per sample, i.e. reads per million (RPM). (XLSM 98Â kb)
Authors
- Riccardi, Sabrina ;
- Bergling, Sebastian ;
- Sigoillot, Frederic ;
- Beibel, Martin ;
- Werner, Annick ;
- Leighton-Davies, Juliet ;
- Knehr, Judith ;
- Tewis Bouwmeester ;
- Parker, Christian ;
- Roma, Guglielmo ;
- Kinzel, Bernd
Number of miRSeq reads and alignment statistics. (XLSM 8Â kb)
Authors
- Riccardi, Sabrina ;
- Bergling, Sebastian ;
- Sigoillot, Frederic ;
- Beibel, Martin ;
- Werner, Annick ;
- Leighton-Davies, Juliet ;
- Knehr, Judith ;
- Tewis Bouwmeester ;
- Parker, Christian ;
- Roma, Guglielmo ;
- Kinzel, Bernd
Table of miRNA raw counts. Raw counts from sequencing of each of the small miRNA libraries. The number of sequences that correspond to each miRNA is listed. (XLSM 60Â kb)
Authors
- Riccardi, Sabrina ;
- Bergling, Sebastian ;
- Sigoillot, Frederic ;
- Beibel, Martin ;
- Werner, Annick ;
- Leighton-Davies, Juliet ;
- Knehr, Judith ;
- Tewis Bouwmeester ;
- Parker, Christian ;
- Roma, Guglielmo ;
- Kinzel, Bernd