Automated Author ProfileFerrario, Alessia
Fondazione IRCCS Istituto Neurologico Carlo Besta
Ferrario, Alessia
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: 2.4 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The database contains clinical and neuropsychological variables of a cohort of 81 patients with chronic pain, specifically 38 with chronic primary pain and 43 with chronic secondary pain, and 41 healthy controls. It contains scores of the following cognitive tests: Ekman-60F test, Story-Based empathy task, Montreal Cognitive Assessment, and data concerning pain intensity, illness duration, mood, behavioural assessment (coiping strategies, quality of life, avoidance behavior and alexithymia). The databases contains also patients' classification in primary and secondary chronic pain condition according to the IASP and ICD-11 criteria (Nicholas et al., 2019).
Authors
- Telesca, Alessandra ;
- Vergallito, Alessandra ;
- Consonni, Monica ;
- Mattavelli, Giulia ;
- Ferrario, Alessia ;
- Grazzi, Licia ;
- Usai, Susanna ;
- Romero Lauro, Leonor
The database contains clinical and neuropsychological variables of a cohort of 81 patients with chronic pain, specifically 38 with chronic primary pain and 43 with chronic secondary pain, and 41 healthy controls. It contains scores of the following cognitive tests: Ekman-60F test, Story-Based empathy task, Montreal Cognitive Assessment, and data concerning pain intensity, illness duration, mood, behavioural assessment (coiping strategies, quality of life, avoidance behavior and alexithymia). The databases contains also patients' classification in primary and secondary chronic pain condition according to the IASP and ICD-11 criteria (Nicholas et al., 2019).
Authors
- Telesca, Alessandra ;
- Vergallito, Alessandra ;
- Consonni, Monica ;
- Mattavelli, Giulia ;
- Ferrario, Alessia ;
- Grazzi, Licia ;
- Usai, Susanna ;
- Romero Lauro, Leonor