You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review
|
|---|---|
| Published in |
Frontiers in Public Health, June 2023
|
| DOI | 10.3389/fpubh.2023.1183725 |
| Pubmed ID | |
| Authors |
Saeed Shakibfar, Fredrik Nyberg, Huiqi Li, Jing Zhao, Hedvig Marie Egeland Nordeng, Geir Kjetil Ferkingstad Sandve, Milena Pavlovic, Mohammadhossein Hajiebrahimi, Morten Andersen, Maurizio Sessa |
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 14% |
| Unspecified | 1 | 7% |
| Lecturer | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Unknown | 9 | 64% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Chemistry | 1 | 7% |
| Engineering | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 9 | 64% |
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 21 June 2023.
All research outputs
#21,317,636
of 26,179,695 outputs
Outputs from Frontiers in Public Health
#8,288
of 14,617 outputs
Outputs of similar age
#285,768
of 386,913 outputs
Outputs of similar age from Frontiers in Public Health
#422
of 843 outputs
Altmetric has tracked 26,179,695 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,617 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 29th percentile – i.e., 29% 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 386,913 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 843 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.