| Title |
Early Prediction of COVID-19 Ventilation Requirement and Mortality from Routinely Collected Baseline Chest Radiographs, Laboratory, and Clinical Data with Machine Learning
|
|---|---|
| Published in |
Journal of Multidisciplinary Healthcare, July 2021
|
| DOI | 10.2147/jmdh.s322431 |
| Pubmed ID | |
| Authors |
Abdulrhman Fahad Aljouie, Ahmed Almazroa, Yahya Bokhari, Mohammed Alawad, Ebrahim Mahmoud, Eman Alawad, Ali Alsehawi, Mamoon Rashid, Lamya Alomair, Shahad Almozaai, Bedoor Albesher, Hassan Alomaish, Rayyan Daghistani, Naif Khalaf Alharbi, Manal Alaamery, Mohammad Bosaeed, Hesham Alshaalan |
X Demographics
The data shown below were collected from the profiles of 37 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 20 | 54% |
| Unknown | 17 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 78% |
| Scientists | 4 | 11% |
| Practitioners (doctors, other healthcare professionals) | 4 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 13% |
| Student > Master | 7 | 11% |
| Researcher | 5 | 8% |
| Other | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 29 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 13% |
| Computer Science | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Business, Management and Accounting | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 35 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 13 September 2021.
All research outputs
#1,383,232
of 25,861,751 outputs
Outputs from Journal of Multidisciplinary Healthcare
#46
of 1,023 outputs
Outputs of similar age
#34,217
of 456,839 outputs
Outputs of similar age from Journal of Multidisciplinary Healthcare
#3
of 64 outputs
Altmetric has tracked 25,861,751 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,023 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 95% 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 456,839 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 92% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.