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The Role of AI in Characterizing the DCM Phenotype

Overview of attention for article published in Frontiers in Cardiovascular Medicine, December 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
32 Mendeley
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Title
The Role of AI in Characterizing the DCM Phenotype
Published in
Frontiers in Cardiovascular Medicine, December 2021
DOI 10.3389/fcvm.2021.787614
Pubmed ID
Authors

Clint Asher, Esther Puyol-Antón, Maleeha Rizvi, Bram Ruijsink, Amedeo Chiribiri, Reza Razavi, Gerry Carr-White

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 %
Student > Ph. D. Student 3 9%
Researcher 3 9%
Student > Master 3 9%
Student > Bachelor 2 6%
Lecturer 2 6%
Other 4 13%
Unknown 15 47%
Readers by discipline Count As %
Computer Science 5 16%
Medicine and Dentistry 5 16%
Nursing and Health Professions 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Agricultural and Biological Sciences 1 3%
Other 3 9%
Unknown 15 47%
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 09 January 2022.
All research outputs
#12,943,390
of 22,842,950 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,369
of 6,726 outputs
Outputs of similar age
#192,176
of 497,801 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#159
of 794 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,726 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 79% 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 497,801 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 60% of its contemporaries.
We're also able to compare this research output to 794 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.