| Title |
A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer’s Disease
|
|---|---|
| Published in |
Brain Informatics, July 2022
|
| DOI | 10.1186/s40708-022-00165-5 |
| Pubmed ID | |
| Authors |
Angela Lombardi, Domenico Diacono, Nicola Amoroso, Przemysław Biecek, Alfonso Monaco, Loredana Bellantuono, Ester Pantaleo, Giancarlo Logroscino, Roberto De Blasi, Sabina Tangaro, Roberto Bellotti |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 17% |
| Student > Master | 7 | 13% |
| Student > Bachelor | 4 | 8% |
| Other | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 22 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 12% |
| Engineering | 4 | 8% |
| Agricultural and Biological Sciences | 3 | 6% |
| Psychology | 3 | 6% |
| Business, Management and Accounting | 3 | 6% |
| Other | 9 | 17% |
| Unknown | 24 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 July 2022.
All research outputs
#15,459,013
of 22,971,207 outputs
Outputs from Brain Informatics
#66
of 103 outputs
Outputs of similar age
#235,156
of 431,531 outputs
Outputs of similar age from Brain Informatics
#2
of 3 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 103 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 431,531 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.