Automated Author ProfileMeyer, Peter
Meyer, Peter
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: 8.9 (sum of 12 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
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
- Meyer, Peter ;
- Neumann, Beate ;
- Stammler, Hans-Georg ;
- Mitzel, Norbert W.
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
- Meyer, Peter ;
- Neumann, Beate ;
- Stammler, Hans-Georg ;
- Mitzel, Norbert W.
Additional file 3: Figure S3. Gene ontology (GO) analysis of RNA sequencing. GO analysis of 980 differentially regulated genes sorted according to Process (A), Component (B) and Function (C). q-value indicating GO-term enrichment.
Authors
- Neutzner, Albert ;
- Power, Laura ;
- DĂźrrenberger, Markus ;
- Scholl, Hendrik ;
- Meyer, Peter ;
- Killer, Hanspeter ;
- Wendt, David ;
- Kohler, Corina
Additional file 3: Figure S3. Gene ontology (GO) analysis of RNA sequencing. GO analysis of 980 differentially regulated genes sorted according to Process (A), Component (B) and Function (C). q-value indicating GO-term enrichment.
Authors
- Neutzner, Albert ;
- Power, Laura ;
- DĂźrrenberger, Markus ;
- Scholl, Hendrik ;
- Meyer, Peter ;
- Killer, Hanspeter ;
- Wendt, David ;
- Kohler, Corina
List of the 430 genes investigated in the couples. Additional file listing the 430 genes for severe AR and XL disorders investigated in the couples (XLS 142 kb)
Authors
- Komlosi, Katalin ;
- Diederich, Stefan ;
- Fend-Guella, Desiree ;
- Bartsch, Oliver ;
- Winter, Jennifer ;
- Zechner, Ulrich ;
- Beck, Michael ;
- Meyer, Peter ;
- Schweiger, Susann
List of the 430 genes investigated in the couples. Additional file listing the 430 genes for severe AR and XL disorders investigated in the couples (XLS 142 kb)
Authors
- Komlosi, Katalin ;
- Diederich, Stefan ;
- Fend-Guella, Desiree ;
- Bartsch, Oliver ;
- Winter, Jennifer ;
- Zechner, Ulrich ;
- Beck, Michael ;
- Meyer, Peter ;
- Schweiger, Susann
Languages employ different strategies to transmit structural and grammatical information. While, for example, grammatical dependency relationships in sentences are mainly conveyed by the ordering of the words for languages like Mandarin Chinese, or Vietnamese, the word ordering is much less restricted for languages such as Inupiatun or Quechua, as these languages (also) use the internal structure of words (e.g. inflectional morphology) to mark grammatical relationships in a sentence. Based on a quantitative analysis of more than 1,500 unique translations of different books of the Bible in almost 1,200 different languages that are spoken as a native language by approximately 6 billion people (more than 80% of the world population), we present large-scale evidence for a statistical trade-off between the amount of information conveyed by the ordering of words and the amount of information conveyed by internal word structure: languages that rely more strongly on word order information tend to rely less on word structure information and vice versa. Or put differently, if less information is carried within the word, more information has to be spread among words in order to communicate successfully. In addition, we find that – despite differences in the way information is expressed – there is also evidence for a trade-off between different books of the biblical canon that recurs with little variation across languages: the more informative the word order of the book, the less informative its word structure and vice versa. We argue that this might suggest that, on the one hand, languages encode information in very different (but efficient) ways. On the other hand, content-related and stylistic features are statistically encoded in very similar ways.
Authors
- Koplenig, Alexander ;
- Meyer, Peter ;
- Wolfer, Sascha ;
- Müller-Spitzer, Carolin
Access to experimental X--‐‑ray diffraction image data is fundamental for validation and reproduction of macromolecular models and indispensable for development of structural biology processing methods. In response to evolving needs of the structural biology community, we established a diffraction data publication and dissemination system, Structural Biology Data Grid (SBDG, url: data.sbgrid.org), to preserve primary experimental datasets that support journal publications. Datasets archived with the SBDG are freely available to the research community under a public domain dedication license and the metadata for all datasets is published under the DataCite schema. Datasets are accessible to researchers through the Data Access Alliance infrastructure, which facilitates global and institutional data access. Our analysis of a pilot collection of crystallographic datasets demonstrates that the information archived by SBDG is sufficient to reprocess data to statistics that meet or exceed the quality of the original published structures. It is anticipated that access to the experimental datasets will enable paradigm shift in the community from the static archive towards a much more dynamic body of continuously improving refined models. Following the success of this pilot study, the SBDG has extended its services to the entire community and will be used to develop support for other types of biomedical datasets, such as MicroED, Molecular Dynamics trajectories and LaPice Light--‐‑Sheet Microscopy.
Authors
- Socias, Stephanie ;
- Jiawei Wu ;
- Meyer, Peter ;
- Tjon, Emily ;
- Oh, David ;
- Merce Crosas ;
- Sliz, Piotr
No description available
Authors
- Hülsmann, Lisa ;
- Bugmann, Harald K.M. ;
- Commarmot, Brigitte ;
- Meyer, Peter ;
- Zimmermann, Stephan ;
- Brang, Peter
No description available
Authors
- Hülsmann, Lisa ;
- Bugmann, Harald K.M. ;
- Commarmot, Brigitte ;
- Meyer, Peter ;
- Zimmermann, Stephan ;
- Brang, Peter