Title |
Auto-antibodies against type I IFNs in > 10% of critically ill COVID-19 patients: a prospective multicentre study
|
---|---|
Published in |
Annals of Intensive Care, December 2022
|
DOI | 10.1186/s13613-022-01095-5 |
Pubmed ID | |
Authors |
Romain Arrestier, Paul Bastard, Thibaut Belmondo, Guillaume Voiriot, Tomas Urbina, Charles-Edouard Luyt, Adrian Gervais, Lucy Bizien, Lauriane Segaux, Mariem Ben Ahmed, Raphaël Bellaïche, Taï Pham, Zakaria Ait-Hamou, Damien Roux, Raphael Clere-Jehl, Elie Azoulay, Stéphane Gaudry, Julien Mayaux, Nicolas Fage, Hafid Ait-Oufella, Elsa Moncomble, Mélodie Parfait, Karim Dorgham, Guy Gorochov, Armand Mekontso-Dessap, Florence Canoui-Poitrine, Jean-Laurent Casanova, Sophie Hue, Nicolas de Prost |
X Demographics
The data shown below were collected from the profiles of 32 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 | 7 | 22% |
Spain | 2 | 6% |
United States | 2 | 6% |
Canada | 1 | 3% |
Brazil | 1 | 3% |
Monaco | 1 | 3% |
United Kingdom | 1 | 3% |
Australia | 1 | 3% |
Germany | 1 | 3% |
Other | 0 | 0% |
Unknown | 15 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 21 | 66% |
Scientists | 8 | 25% |
Practitioners (doctors, other healthcare professionals) | 2 | 6% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 36% |
Student > Bachelor | 3 | 21% |
Student > Master | 2 | 14% |
Student > Postgraduate | 1 | 7% |
Unknown | 3 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 29% |
Medicine and Dentistry | 3 | 21% |
Immunology and Microbiology | 2 | 14% |
Chemical Engineering | 1 | 7% |
Agricultural and Biological Sciences | 1 | 7% |
Other | 0 | 0% |
Unknown | 3 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 20 April 2023.
All research outputs
#1,500,512
of 25,753,031 outputs
Outputs from Annals of Intensive Care
#167
of 1,213 outputs
Outputs of similar age
#31,970
of 479,668 outputs
Outputs of similar age from Annals of Intensive Care
#6
of 23 outputs
Altmetric has tracked 25,753,031 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 1,213 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done well, scoring higher than 86% 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 479,668 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 93% of its contemporaries.
We're also able to compare this research output to 23 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 73% of its contemporaries.