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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimer's Disease
|
|---|---|
| Published in |
Frontiers in Neurology, November 2020
|
| DOI | 10.3389/fneur.2020.576194 |
| Pubmed ID | |
| Authors |
Loris Nanni, Matteo Interlenghi, Sheryl Brahnam, Christian Salvatore, Sergio Papa, Raffaello Nemni, Isabella Castiglioni, The Alzheimer's Disease Neuroimaging Initiative |
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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 15% |
| Student > Ph. D. Student | 10 | 12% |
| Researcher | 9 | 10% |
| Lecturer | 6 | 7% |
| Student > Doctoral Student | 5 | 6% |
| Other | 11 | 13% |
| Unknown | 32 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 16% |
| Engineering | 12 | 14% |
| Neuroscience | 6 | 7% |
| Psychology | 4 | 5% |
| Linguistics | 2 | 2% |
| Other | 12 | 14% |
| Unknown | 36 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 06 November 2020.
All research outputs
#3,199,035
of 23,257,423 outputs
Outputs from Frontiers in Neurology
#2,432
of 12,176 outputs
Outputs of similar age
#82,824
of 420,759 outputs
Outputs of similar age from Frontiers in Neurology
#286
of 624 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,176 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 78% 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 420,759 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 624 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.