Automated Author ProfileNeuhaus, Valentin
Neuhaus, Valentin
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: 0.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset comprises a single .xlsx spreadsheet comparing patients admitted to the trauma bay of one academic level-one trauma center in March and April 2019 with patients admitted in March and April 2020.
These data underlie the related manuscript: The impact of SARS-CoV-19 pandemic on trauma bay management and guideline adherence in a European level-one-trauma center. The aim of the study described in this manuscript was to determine whether potential adjustments of trauma bay algorithms during a global pandemic could reduce contamination and increase safety for patients and medical personnel.
In the related manuscript, the two groups are termed Group Ref for the reference group from 2019 and Group Pan for the pandemic group from 2020. In the spreadsheet, these can be sorted by the "Year" column.
The cohort included 74 patients, mean age 50.0 (± 21.8) years. 54 were male (73.0%). Group Ref included 44 (59.4%) patients, while Group Pan included 30 (40.5%) patients.
Authors
- Halvachizadeh, Sascha ;
- Teuben, Michel ;
- Berk, Till ;
- Neuhaus, Valentin ;
- Hans-Christoph Pape ;
- Pfeifer, Roman
This dataset comprises a single .xlsx spreadsheet comparing patients admitted to the trauma bay of one academic level-one trauma center in March and April 2019 with patients admitted in March and April 2020.
These data underlie the related manuscript: The impact of SARS-CoV-19 pandemic on trauma bay management and guideline adherence in a European level-one-trauma center. The aim of the study described in this manuscript was to determine whether potential adjustments of trauma bay algorithms during a global pandemic could reduce contamination and increase safety for patients and medical personnel.
In the related manuscript, the two groups are termed Group Ref for the reference group from 2019 and Group Pan for the pandemic group from 2020. In the spreadsheet, these can be sorted by the "Year" column.
The cohort included 74 patients, mean age 50.0 (± 21.8) years. 54 were male (73.0%). Group Ref included 44 (59.4%) patients, while Group Pan included 30 (40.5%) patients.
Authors
- Halvachizadeh, Sascha ;
- Teuben, Michel ;
- Berk, Till ;
- Neuhaus, Valentin ;
- Hans-Christoph Pape ;
- Pfeifer, Roman