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CMAJ

Article Metrics

A disease-specific comorbidity index for predicting mortality in patients admitted to hospital with a cardiac condition

Overview of attention for article published in CMAJ, March 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
10 news outlets
blogs
2 blogs
twitter
12 tweeters
facebook
3 Facebook pages

Readers on

mendeley
5 Mendeley
Title
A disease-specific comorbidity index for predicting mortality in patients admitted to hospital with a cardiac condition
Published in
CMAJ, 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

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 20%
Student > Bachelor 1 20%
Student > Doctoral Student 1 20%
Professor > Associate Professor 1 20%
Unspecified 1 20%
Other 0 0%
Readers by discipline Count As %
Unspecified 2 40%
Medicine and Dentistry 2 40%
Biochemistry, Genetics and Molecular Biology 1 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 100. 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
#146,505
of 12,923,846 outputs
Outputs from CMAJ
#337
of 5,926 outputs
Outputs of similar age
#6,228
of 274,317 outputs
Outputs of similar age from CMAJ
#16
of 92 outputs
Altmetric has tracked 12,923,846 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 5,926 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one has done particularly well, scoring higher than 94% 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 274,317 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 92 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.