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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AI and High-Grade Glioma for Diagnosis and Outcome Prediction: Do All Machine Learning Models Perform Equally Well?
|
|---|---|
| Published in |
Frontiers in oncology, November 2021
|
| DOI | 10.3389/fonc.2021.601425 |
| Pubmed ID | |
| Authors |
Luca Pasquini, Antonio Napolitano, Martina Lucignani, Emanuela Tagliente, Francesco Dellepiane, Maria Camilla Rossi-Espagnet, Matteo Ritrovato, Antonello Vidiri, Veronica Villani, Giulio Ranazzi, Antonella Stoppacciaro, Andrea Romano, Alberto Di Napoli, Alessandro Bozzao |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 11% |
| Researcher | 3 | 8% |
| Lecturer | 2 | 5% |
| Unspecified | 2 | 5% |
| Student > Master | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 24 | 65% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 8% |
| Unspecified | 2 | 5% |
| Psychology | 2 | 5% |
| Engineering | 2 | 5% |
| Nursing and Health Professions | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 23 | 62% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 December 2021.
All research outputs
#16,724,670
of 26,338,415 outputs
Outputs from Frontiers in oncology
#5,935
of 22,976 outputs
Outputs of similar age
#278,555
of 530,170 outputs
Outputs of similar age from Frontiers in oncology
#307
of 1,348 outputs
Altmetric has tracked 26,338,415 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,976 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 70% 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 530,170 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,348 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.