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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Functional Living Skills in Patients with Major Neurocognitive Disorder Due to Degenerative or Non-Degenerative Conditions: Effectiveness of a Non-Immersive Virtual Reality Training
|
|---|---|
| Published in |
Sensors, February 2023
|
| DOI | 10.3390/s23041896 |
| Pubmed ID | |
| Authors |
Simonetta Panerai, Valentina Catania, Francesco Rundo, Domenica Tasca, Sabrina Musso, Claudio Babiloni, Giuseppina Prestianni, Stefano Muratore, Raffaele Ferri |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 18% |
| Professor > Associate Professor | 3 | 14% |
| Student > Ph. D. Student | 3 | 14% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 8 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 18% |
| Medicine and Dentistry | 2 | 9% |
| Engineering | 2 | 9% |
| Social Sciences | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 8 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 February 2023.
All research outputs
#1,982,912
of 25,394,764 outputs
Outputs from Sensors
#452
of 24,326 outputs
Outputs of similar age
#41,763
of 473,696 outputs
Outputs of similar age from Sensors
#18
of 819 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,326 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 473,696 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 819 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.