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A heart failure phenotype stratified model for predicting 1-year mortality in patients admitted with acute heart failure: results from an individual participant data meta-analysis of four prospective…

Overview of attention for article published in BMC Medicine, January 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
32 Mendeley
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Title
A heart failure phenotype stratified model for predicting 1-year mortality in patients admitted with acute heart failure: results from an individual participant data meta-analysis of four prospective European cohorts
Published in
BMC Medicine, January 2021
DOI 10.1186/s12916-020-01894-2
Pubmed ID
Authors

Yuntao Chen, Adriaan A. Voors, Tiny Jaarsma, Chim C. Lang, Iziah E. Sama, K. Martijn Akkerhuis, Eric Boersma, Hans L. Hillege, Douwe Postmus

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 13 41%
Researcher 5 16%
Student > Doctoral Student 3 9%
Student > Bachelor 2 6%
Student > Master 1 3%
Other 1 3%
Unknown 7 22%
Readers by discipline Count As %
Unspecified 13 41%
Medicine and Dentistry 5 16%
Biochemistry, Genetics and Molecular Biology 2 6%
Nursing and Health Professions 2 6%
Decision Sciences 1 3%
Other 1 3%
Unknown 8 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 January 2021.
All research outputs
#13,517,981
of 23,322,966 outputs
Outputs from BMC Medicine
#2,839
of 3,508 outputs
Outputs of similar age
#236,686
of 505,571 outputs
Outputs of similar age from BMC Medicine
#72
of 88 outputs
Altmetric has tracked 23,322,966 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,508 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.8. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 505,571 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.