| Title |
Automated left atrial strain analysis for predicting atrial fibrillation in severe COVID-19 pneumonia: a prospective study
|
|---|---|
| Published in |
Annals of Intensive Care, December 2021
|
| DOI | 10.1186/s13613-021-00955-w |
| Pubmed ID | |
| Authors |
Christophe Beyls, Alexis Hermida, Yohann Bohbot, Nicolas Martin, Christophe Viart, Solenne Boisgard, Camille Daumin, Pierre Huette, Hervé Dupont, Osama Abou-Arab, Yazine Mahjoub |
X Demographics
The data shown below were collected from the profiles of 7 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 | 29% |
| Japan | 1 | 14% |
| Comoros | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 15% |
| Student > Ph. D. Student | 2 | 15% |
| Student > Postgraduate | 2 | 15% |
| Researcher | 2 | 15% |
| Student > Bachelor | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 54% |
| Unspecified | 1 | 8% |
| Neuroscience | 1 | 8% |
| Nursing and Health Professions | 1 | 8% |
| Unknown | 3 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 04 January 2022.
All research outputs
#2,323,513
of 25,046,311 outputs
Outputs from Annals of Intensive Care
#295
of 1,165 outputs
Outputs of similar age
#54,740
of 515,795 outputs
Outputs of similar age from Annals of Intensive Care
#13
of 42 outputs
Altmetric has tracked 25,046,311 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,165 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has gotten more attention than average, scoring higher than 74% 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 515,795 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% 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 71% of its contemporaries.