Automated Author ProfileF., Manfrin
F., Manfrin
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: 1.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Introduction. This study aimed at validating and providing Italian norms for the Single-Matrix Digit Cancellation Test (SMDCT), a cancellation task to screen for selective attention deficits, as well as providing clinical usability evidence for it in acute stroke patients. Methods. The SMDCT stimulus is a specular, 4-quadrant, horizontally oriented matrix, across which target distribution is homogeneous. Both Accuracy (-A) and Time (-T) outcomes were computed. N=263 healthy participants (HPs) and N=76 acute stroke patients were recruited. N=108 HPs also underwent the Mini-Mental State Examination, Frontal Assessment Battery (FAB) and Trail-Making Test (TMT), whilst patients were further assessed via the Mental Performance in Acute Stroke (MEPS). Regression-based norms were derived (Equivalent Scores). Construct and factorial validity, as well as case-control discrimination, were tested. Results. The matrix was underpinned by a two-component structure reflecting left and right hits. The SMDCT-T and -A were associated with TMT and FAB scores, respectively. Education predicted the SMDCT-A/-T, whereas age the SMDCT-T only. In patients, the SMDCT converged with the MEPS, also accurately discriminating them from HPs. An index of right-left difference differentiated right- from left-damaged patients. Conclusions. The SMDCT is a valid and normed screener for selective attention deficits, encompassing measures of both accuracy and time, whose adoption is encouraged in acute stroke patients. Relatedly, the horizontal disposition of its matrix does allow for the qualitative report of either leftwards of rightwards biases due to underlying visual or attentional-representational deficits in this population.
Authors
- F., Pasotti ;
- E.N., Aiello ;
- A., Bollani ;
- M., Querzola ;
- S., Cozzi ;
- F., Manfrin ;
- S., Bruno ;
- B., Poletti ;
- N., Ticozzi ;
- V., Silani ;
- G., Bottini
Introduction. This study aimed at validating and providing Italian norms for the Single-Matrix Digit Cancellation Test (SMDCT), a cancellation task to screen for selective attention deficits, as well as providing clinical usability evidence for it in acute stroke patients. Methods. The SMDCT stimulus is a specular, 4-quadrant, horizontally oriented matrix, across which target distribution is homogeneous. Both Accuracy (-A) and Time (-T) outcomes were computed. N=263 healthy participants (HPs) and N=76 acute stroke patients were recruited. N=108 HPs also underwent the Mini-Mental State Examination, Frontal Assessment Battery (FAB) and Trail-Making Test (TMT), whilst patients were further assessed via the Mental Performance in Acute Stroke (MEPS). Regression-based norms were derived (Equivalent Scores). Construct and factorial validity, as well as case-control discrimination, were tested. Results. The matrix was underpinned by a two-component structure reflecting left and right hits. The SMDCT-T and -A were associated with TMT and FAB scores, respectively. Education predicted the SMDCT-A/-T, whereas age the SMDCT-T only. In patients, the SMDCT converged with the MEPS, also accurately discriminating them from HPs. An index of right-left difference differentiated right- from left-damaged patients. Conclusions. The SMDCT is a valid and normed screener for selective attention deficits, encompassing measures of both accuracy and time, whose adoption is encouraged in acute stroke patients. Relatedly, the horizontal disposition of its matrix does allow for the qualitative report of either leftwards of rightwards biases due to underlying visual or attentional-representational deficits in this population.
Authors
- F., Pasotti ;
- E.N., Aiello ;
- A., Bollani ;
- M., Querzola ;
- S., Cozzi ;
- F., Manfrin ;
- S., Bruno ;
- B., Poletti ;
- N., Ticozzi ;
- V., Silani ;
- G., Bottini