Title |
A disease-specific comorbidity index for predicting mortality in patients admitted to hospital with a cardiac condition
|
---|---|
Published in |
Canadian Medical Association Journal, March 2019
|
DOI | 10.1503/cmaj.181186 |
Pubmed ID | |
Authors |
Lorenzo Azzalini, Malorie Chabot-Blanchet, Danielle A Southern, Anna Nozza, Stephen B Wilton, Michelle M Graham, Guillaume Marquis Gravel, Jean-Pierre Bluteau, Jean-Lucien Rouleau, Marie-Claude Guertin, E Marc Jolicoeur |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 4 | 36% |
Canada | 4 | 36% |
United States | 1 | 9% |
Unknown | 2 | 18% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 45% |
Scientists | 3 | 27% |
Practitioners (doctors, other healthcare professionals) | 2 | 18% |
Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 19% |
Student > Bachelor | 6 | 13% |
Student > Ph. D. Student | 5 | 10% |
Student > Doctoral Student | 4 | 8% |
Student > Master | 3 | 6% |
Other | 7 | 15% |
Unknown | 14 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 18 | 38% |
Biochemistry, Genetics and Molecular Biology | 3 | 6% |
Mathematics | 2 | 4% |
Computer Science | 2 | 4% |
Psychology | 2 | 4% |
Other | 5 | 10% |
Unknown | 16 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 98. 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 11 April 2019.
All research outputs
#372,328
of 23,133,982 outputs
Outputs from Canadian Medical Association Journal
#677
of 8,807 outputs
Outputs of similar age
#9,894
of 380,290 outputs
Outputs of similar age from Canadian Medical Association Journal
#17
of 131 outputs
Altmetric has tracked 23,133,982 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,807 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.2. This one has done particularly well, scoring higher than 92% 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 380,290 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 97% of its contemporaries.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.