Automated Author ProfileBergmark, Lasse
Bergmark, Lasse
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: 3.4 (sum of 6 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Overview of next-generation sequencing (NGS) platforms, and DNA amounts required for library preparation.
This table relates to the article:
Berith E. Knudsen, Lasse Bergmark, Patrick Munk, Oksana Lukjancenko, Anders Priemé, Frank M. Aarestrup, Sünje J. Pamp (2016) Impact of Sample Type and DNA Isolation Procedure on Genomic Inference of Microbiome Composition. mSystems Oct 2016, 1 (5) e00095-16; DOI: 10.1128/mSystems.00095-16 http://msystems.asm.org/content/1/5/e00095-16
Authors
- Bergmark, Lasse
Overview of next-generation sequencing (NGS) platforms, and DNA amounts required for library preparation.
This table relates to the article:
Berith E. Knudsen, Lasse Bergmark, Patrick Munk, Oksana Lukjancenko, Anders Priemé, Frank M. Aarestrup, Sünje J. Pamp (2016) Impact of Sample Type and DNA Isolation Procedure on Genomic Inference of Microbiome Composition. mSystems Oct 2016, 1 (5) e00095-16; DOI: 10.1128/mSystems.00095-16 http://msystems.asm.org/content/1/5/e00095-16
Authors
- Bergmark, Lasse
Differential abundance of bacterial families (based on their respective relative abundance). Pairwise comparison by DNA extraction method was performed using the relative abundance of each family and their log2-fold difference (column vs. rows). This figure relates to the article:
Berith E. Knudsen, Lasse Bergmark, Patrick Munk, Oksana Lukjancenko, Anders Priemé, Frank M. Aarestrup, Sünje J. Pamp (2016) Impact of Sample Type and DNA Isolation Procedure on Genomic Inference of Microbiome Composition. mSystems Oct 2016, 1 (5) e00095-16; DOI: 10.1128/mSystems.00095-16 http://msystems.asm.org/content/1/5/e00095-16
Authors
- Pamp, Sünje Johanna ;
- Knudsen, Berith E. ;
- Bergmark, Lasse
Differential abundance of bacterial families (based on their respective relative abundance). Pairwise comparison by DNA extraction method was performed using the relative abundance of each family and their log2-fold difference (column vs. rows). This figure relates to the article:
Berith E. Knudsen, Lasse Bergmark, Patrick Munk, Oksana Lukjancenko, Anders Priemé, Frank M. Aarestrup, Sünje J. Pamp (2016) Impact of Sample Type and DNA Isolation Procedure on Genomic Inference of Microbiome Composition. mSystems Oct 2016, 1 (5) e00095-16; DOI: 10.1128/mSystems.00095-16 http://msystems.asm.org/content/1/5/e00095-16
Authors
- Pamp, Sünje Johanna ;
- Knudsen, Berith E. ;
- Bergmark, Lasse
The similarity and dissimilarity within and between microbial communities - from human feces, pig feces, and hospital sewage, processed with seven different DNA extraction protocols - was assessed using Jaccard and Bray Curtis distances, respectively. These figures relate to the article:
Berith E. Knudsen, Lasse Bergmark, Patrick Munk, Oksana Lukjancenko, Anders Priemé, Frank M. Aarestrup, Sünje J. Pamp (2016) Impact of Sample Type and DNA Isolation Procedure on Genomic Inference of Microbiome Composition. mSystems Oct 2016, 1 (5) e00095-16; DOI: 10.1128/mSystems.00095-16 http://msystems.asm.org/content/1/5/e00095-16
Authors
- Bergmark, Lasse ;
- Pamp, Sünje Johanna
The similarity and dissimilarity within and between microbial communities - from human feces, pig feces, and hospital sewage, processed with seven different DNA extraction protocols - was assessed using Jaccard and Bray Curtis distances, respectively.
These figures relate to the article:
Berith E. Knudsen, Lasse Bergmark, Patrick Munk, Oksana Lukjancenko, Anders Priemé, Frank M. Aarestrup, Sünje J. Pamp (2016) Impact of Sample Type and DNA Isolation Procedure on Genomic Inference of Microbiome Composition. mSystems Oct 2016, 1 (5) e00095-16; DOI: 10.1128/mSystems.00095-16 http://msystems.asm.org/content/1/5/e00095-16
Authors
- Bergmark, Lasse ;
- Pamp, Sünje Johanna