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De novo variants in exomes of congenital heart disease patients identify risk genes and pathways

Overview of attention for article published in Genome Medicine, January 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
33 X users

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
76 Mendeley
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Title
De novo variants in exomes of congenital heart disease patients identify risk genes and pathways
Published in
Genome Medicine, January 2020
DOI 10.1186/s13073-019-0709-8
Pubmed ID
Authors

Cigdem Sevim Bayrak, Peng Zhang, Martin Tristani-Firouzi, Bruce D. Gelb, Yuval Itan

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 17%
Researcher 10 13%
Student > Doctoral Student 9 12%
Student > Bachelor 6 8%
Student > Master 4 5%
Other 9 12%
Unknown 25 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 22%
Medicine and Dentistry 15 20%
Unspecified 3 4%
Agricultural and Biological Sciences 3 4%
Nursing and Health Professions 2 3%
Other 7 9%
Unknown 29 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 05 January 2021.
All research outputs
#1,969,408
of 25,476,463 outputs
Outputs from Genome Medicine
#438
of 1,591 outputs
Outputs of similar age
#47,906
of 477,133 outputs
Outputs of similar age from Genome Medicine
#11
of 34 outputs
Altmetric has tracked 25,476,463 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,591 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has gotten more attention than average, scoring higher than 72% 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 477,133 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.