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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Radiomics and machine learning applied to STIR sequence for prediction of quantitative parameters in facioscapulohumeral disease
|
|---|---|
| Published in |
Frontiers in Neurology, February 2023
|
| DOI | 10.3389/fneur.2023.1105276 |
| Pubmed ID | |
| Authors |
Giulia Colelli, Leonardo Barzaghi, Matteo Paoletti, Mauro Monforte, Niels Bergsland, Giulia Manco, Xeni Deligianni, Francesco Santini, Enzo Ricci, Giorgio Tasca, Antonietta Mira, Silvia Figini, Anna Pichiecchio |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 14% |
| United States | 1 | 14% |
| Netherlands | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 20% |
| Student > Ph. D. Student | 2 | 20% |
| Researcher | 1 | 10% |
| Student > Master | 1 | 10% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 20% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Computer Science | 1 | 10% |
| Agricultural and Biological Sciences | 1 | 10% |
| Physics and Astronomy | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 25 March 2023.
All research outputs
#7,019,611
of 23,467,261 outputs
Outputs from Frontiers in Neurology
#4,441
of 12,394 outputs
Outputs of similar age
#99,543
of 355,172 outputs
Outputs of similar age from Frontiers in Neurology
#75
of 653 outputs
Altmetric has tracked 23,467,261 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 12,394 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 64% 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 355,172 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 653 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.