| Title |
A machine learning model for predicting ICU readmissions and key risk factors: analysis from a longitudinal health records
|
|---|---|
| Published in |
Health and Technology, April 2019
|
| DOI | 10.1007/s12553-019-00329-0 |
| Authors |
Alvaro Ribeiro Botelho Junqueira, Farhaan Mirza, Mirza Mansoor Baig |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 17% |
| Student > Bachelor | 6 | 14% |
| Researcher | 6 | 14% |
| Student > Ph. D. Student | 3 | 7% |
| Professor | 2 | 5% |
| Other | 0 | 0% |
| Unknown | 18 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 17% |
| Engineering | 5 | 12% |
| Medicine and Dentistry | 2 | 5% |
| Business, Management and Accounting | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 6 | 14% |
| Unknown | 19 | 45% |
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 26 April 2019.
All research outputs
#15,694,282
of 23,321,213 outputs
Outputs from Health and Technology
#141
of 236 outputs
Outputs of similar age
#218,056
of 350,280 outputs
Outputs of similar age from Health and Technology
#5
of 6 outputs
Altmetric has tracked 23,321,213 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 236 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one is in the 21st percentile – i.e., 21% 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 350,280 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.