Title |
Identification of Patient Profiles with High Risk of Hospital Re-Admissions for Acute COPD Exacerbations (AECOPD) in France Using a Machine Learning Model
|
---|---|
Published in |
International Journal of Chronic Obstructive Pulmonary Disease, April 2020
|
DOI | 10.2147/copd.s236787 |
Pubmed ID | |
Authors |
Arnaud Cavailles, Boris Melloni, Stéphane Motola, Florent Dayde, Marie Laurent, Katell Le Lay, Didier Caumette, Laura Luciani, Pierre Louis Lleu, Geoffrey Berthon, Thomas Flament |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 40% |
Italy | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 6 | 17% |
Student > Master | 4 | 11% |
Researcher | 4 | 11% |
Other | 3 | 8% |
Student > Bachelor | 2 | 6% |
Other | 2 | 6% |
Unknown | 15 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 17% |
Nursing and Health Professions | 3 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
Computer Science | 2 | 6% |
Engineering | 2 | 6% |
Other | 5 | 14% |
Unknown | 16 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 07 May 2020.
All research outputs
#7,035,361
of 25,387,668 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#791
of 2,578 outputs
Outputs of similar age
#135,858
of 396,814 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#16
of 42 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,578 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 69% 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 396,814 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.