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X Demographics
Mendeley readers
Attention Score in Context
Title |
COVID-19 ICU mortality prediction: a machine learning approach using SuperLearner algorithm
|
---|---|
Published in |
Journal of Anesthesia, Analgesia and Critical Care, September 2021
|
DOI | 10.1186/s44158-021-00002-x |
Pubmed ID | |
Authors |
Giulia Lorenzoni, Nicolò Sella, Annalisa Boscolo, Danila Azzolina, Patrizia Bartolotta, Laura Pasin, Tommaso Pettenuzzo, Alessandro De Cassai, Fabio Baratto, Fabio Toffoletto, Silvia De Rosa, Giorgio Fullin, Mario Peta, Paolo Rosi, Enrico Polati, Alberto Zanella, Giacomo Grasselli, Antonio Pesenti, Paolo Navalesi, Dario Gregori |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 3 | 14% |
United Kingdom | 2 | 10% |
Nigeria | 1 | 5% |
Germany | 1 | 5% |
Chile | 1 | 5% |
India | 1 | 5% |
South Africa | 1 | 5% |
Unknown | 11 | 52% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 17 | 81% |
Practitioners (doctors, other healthcare professionals) | 2 | 10% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 1 | 5% |
Lecturer | 1 | 5% |
Student > Bachelor | 1 | 5% |
Student > Master | 1 | 5% |
Researcher | 1 | 5% |
Other | 1 | 5% |
Unknown | 14 | 70% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 3 | 15% |
Unspecified | 1 | 5% |
Computer Science | 1 | 5% |
Social Sciences | 1 | 5% |
Unknown | 14 | 70% |
Attention Score in Context
This research output has an Altmetric Attention Score of 44. 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 24 October 2022.
All research outputs
#913,147
of 24,748,616 outputs
Outputs from Journal of Anesthesia, Analgesia and Critical Care
#8
of 101 outputs
Outputs of similar age
#21,639
of 422,019 outputs
Outputs of similar age from Journal of Anesthesia, Analgesia and Critical Care
#2
of 5 outputs
Altmetric has tracked 24,748,616 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 93% 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 422,019 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 94% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.