| Title |
How machine learning could be used in clinical practice during an epidemic
|
|---|---|
| Published in |
Critical Care, May 2020
|
| DOI | 10.1186/s13054-020-02962-y |
| Pubmed ID | |
| Authors |
Charles Verdonk, Franck Verdonk, Gérard Dreyfus |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
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 % |
|---|---|---|
| Researcher | 7 | 17% |
| Student > Bachelor | 7 | 17% |
| Student > Ph. D. Student | 3 | 7% |
| Student > Master | 3 | 7% |
| Librarian | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 12 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 29% |
| Engineering | 3 | 7% |
| Psychology | 3 | 7% |
| Nursing and Health Professions | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 15 | 36% |
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 01 June 2020.
All research outputs
#19,957,118
of 25,387,668 outputs
Outputs from Critical Care
#5,876
of 6,555 outputs
Outputs of similar age
#314,230
of 429,499 outputs
Outputs of similar age from Critical Care
#197
of 215 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,555 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 8th percentile – i.e., 8% 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 429,499 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.