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Clinical Risk Score to Predict Pathogenic Genotypes in Patients With Dilated Cardiomyopathy

Overview of attention for article published in JACC, September 2022
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
9 news outlets
blogs
4 blogs
twitter
89 X users
facebook
2 Facebook pages

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Clinical Risk Score to Predict Pathogenic Genotypes in Patients With Dilated Cardiomyopathy
Published in
JACC, September 2022
DOI 10.1016/j.jacc.2022.06.040
Pubmed ID
Authors

Luis Escobar-Lopez, Juan Pablo Ochoa, Ana Royuela, Job A.J. Verdonschot, Matteo Dal Ferro, Maria Angeles Espinosa, Maria Sabater-Molina, Maria Gallego-Delgado, Jose M. Larrañaga-Moreira, Jose M. Garcia-Pinilla, Maria Teresa Basurte-Elorz, José F. Rodríguez-Palomares, Vicente Climent, Francisco J. Bermudez-Jimenez, María Victoria Mogollón-Jiménez, Javier Lopez, Maria Luisa Peña-Peña, Ana Garcia-Alvarez, Bernardo López-Abel, Tomas Ripoll-Vera, Julian Palomino-Doza, Antoni Bayes-Genis, Ramon Brugada, Uxua Idiazabal, Jesus G. Mirelis, Fernando Dominguez, Michiel T.H.M. Henkens, Ingrid P.C. Krapels, Han G. Brunner, Alessia Paldino, Denise Zaffalon, Luisa Mestroni, Gianfranco Sinagra, Stephane R.B. Heymans, Marco Merlo, Pablo Garcia-Pavia

X Demographics

X Demographics

The data shown below were collected from the profiles of 89 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 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 %
Student > Ph. D. Student 10 21%
Researcher 7 15%
Student > Postgraduate 4 8%
Student > Master 4 8%
Student > Bachelor 3 6%
Other 7 15%
Unknown 13 27%
Readers by discipline Count As %
Medicine and Dentistry 26 54%
Biochemistry, Genetics and Molecular Biology 3 6%
Engineering 2 4%
Chemistry 1 2%
Unknown 16 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 138. 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 16 January 2024.
All research outputs
#306,136
of 25,713,737 outputs
Outputs from JACC
#697
of 16,913 outputs
Outputs of similar age
#8,285
of 431,095 outputs
Outputs of similar age from JACC
#21
of 176 outputs
Altmetric has tracked 25,713,737 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 16,913 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.1. This one has done particularly well, scoring higher than 95% 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 431,095 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 98% of its contemporaries.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.