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ClinVar database of global familial hypercholesterolemia‐associated DNA variants

Overview of attention for article published in Human Mutation, October 2018
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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17 X users

Citations

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87 Dimensions

Readers on

mendeley
96 Mendeley
Title
ClinVar database of global familial hypercholesterolemia‐associated DNA variants
Published in
Human Mutation, October 2018
DOI 10.1002/humu.23634
Pubmed ID
Authors

Michael A. Iacocca, Joana R. Chora, Alain Carrié, Tomáš Freiberger, Sarah E. Leigh, Joep C. Defesche, C. Lisa Kurtz, Marina T. DiStefano, Raul D. Santos, Steve E. Humphries, Pedro Mata, Cinthia E. Jannes, Amanda J. Hooper, Katherine A. Wilemon, Pascale Benlian, Robert O'Connor, John Garcia, Hannah Wand, Lukáš Tichy, Eric J. Sijbrands, Robert A. Hegele, Mafalda Bourbon, Joshua W. Knowles, on behalf of the ClinGen FH Variant Curation Expert Panel

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 15%
Student > Bachelor 14 15%
Student > Master 12 13%
Other 10 10%
Student > Ph. D. Student 9 9%
Other 8 8%
Unknown 29 30%
Readers by discipline Count As %
Medicine and Dentistry 22 23%
Biochemistry, Genetics and Molecular Biology 21 22%
Agricultural and Biological Sciences 7 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Computer Science 2 2%
Other 9 9%
Unknown 32 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 02 November 2019.
All research outputs
#3,270,086
of 24,754,968 outputs
Outputs from Human Mutation
#240
of 2,965 outputs
Outputs of similar age
#65,218
of 351,615 outputs
Outputs of similar age from Human Mutation
#11
of 63 outputs
Altmetric has tracked 24,754,968 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,965 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 91% 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 351,615 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 81% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.