| Title |
Artificial Intelligence in Predicting Clinical Outcome in COVID-19 Patients from Clinical, Biochemical and a Qualitative Chest X-Ray Scoring System
|
|---|---|
| Published in |
Reports in Medical Imaging, March 2021
|
| DOI | 10.2147/rmi.s292314 |
| Authors |
Andrea Esposito, Elena Casiraghi, Francesca Chiaraviglio, Alice Scarabelli, Elvira Stellato, Guido Plensich, Giulia Lastella, Letizia Di Meglio, Stefano Fusco, Emanuele Avola, Alessandro Jachetti, Caterina Giannitto, Dario Malchiodi, Marco Frasca, Afshin Beheshti, Peter N Robinson, Giorgio Valentini, Laura Forzenigo, Gianpaolo Carrafiello |
X Demographics
The data shown below were collected from the profiles of 112 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 | 11 | 10% |
| United States | 10 | 9% |
| India | 6 | 5% |
| Canada | 3 | 3% |
| Nigeria | 3 | 3% |
| Netherlands | 2 | 2% |
| Brazil | 2 | 2% |
| Germany | 2 | 2% |
| Kenya | 1 | <1% |
| Other | 16 | 14% |
| Unknown | 56 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 105 | 94% |
| Scientists | 6 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
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 % |
|---|---|---|
| Student > Master | 4 | 18% |
| Student > Postgraduate | 3 | 14% |
| Student > Ph. D. Student | 2 | 9% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Researcher | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 23% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Environmental Science | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 10 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 60. 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 24 May 2021.
All research outputs
#705,556
of 25,389,116 outputs
Outputs from Reports in Medical Imaging
#2
of 40 outputs
Outputs of similar age
#19,639
of 429,219 outputs
Outputs of similar age from Reports in Medical Imaging
#2
of 3 outputs
Altmetric has tracked 25,389,116 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 40 research outputs from this source. They receive a mean Attention Score of 4.2. This one scored the same or higher as 38 of them.
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 429,219 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 95% of its contemporaries.
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.