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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Unraveling complex relationships between COVID-19 risk factors using machine learning based models for predicting mortality of hospitalized patients and identification of high-risk group: a large retrospective study
|
|---|---|
| Published in |
Frontiers in Medicine, May 2023
|
| DOI | 10.3389/fmed.2023.1170331 |
| Pubmed ID | |
| Authors |
Mohammad Mehdi Banoei, Haniyeh Rafiepoor, Kazem Zendehdel, Monireh Sadat Seyyedsalehi, Azin Nahvijou, Farshad Allameh, Saeid Amanpour |
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 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 % |
|---|---|---|
| Researcher | 2 | 14% |
| Unspecified | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Unknown | 9 | 64% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 7% |
| Computer Science | 1 | 7% |
| Immunology and Microbiology | 1 | 7% |
| Medicine and Dentistry | 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 22 May 2023.
All research outputs
#21,159,649
of 23,812,962 outputs
Outputs from Frontiers in Medicine
#5,432
of 6,219 outputs
Outputs of similar age
#222,908
of 283,438 outputs
Outputs of similar age from Frontiers in Medicine
#152
of 176 outputs
Altmetric has tracked 23,812,962 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,219 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one is in the 1st percentile – i.e., 1% 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 283,438 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.