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Artificial intelligence‐assisted automated heart failure detection and classification from electronic health records

Overview of attention for article published in ESC Heart Failure, May 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 1,580)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
159 news outlets

Readers on

mendeley
9 Mendeley
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Title
Artificial intelligence‐assisted automated heart failure detection and classification from electronic health records
Published in
ESC Heart Failure, May 2024
DOI 10.1002/ehf2.14828
Pubmed ID
Authors

Mon Myat Oo, Chuang Gao, Christian Cole, Yoran Hummel, Magalie Guignard‐Duff, Emily Jefferson, James Hare, Adriaan A. Voors, Rudolf A. de Boer, Carolyn S.P. Lam, Ify R. Mordi, Jasper Tromp, Chim C. Lang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 56%
Unknown 4 44%
Readers by discipline Count As %
Unspecified 5 56%
Unknown 4 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1168. 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 June 2024.
All research outputs
#12,869
of 26,075,497 outputs
Outputs from ESC Heart Failure
#2
of 1,580 outputs
Outputs of similar age
#178
of 261,975 outputs
Outputs of similar age from ESC Heart Failure
#1
of 38 outputs
Altmetric has tracked 26,075,497 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,580 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done particularly well, scoring higher than 99% 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 261,975 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 99% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.