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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
18 tweeters

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
56 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

Twitter Demographics

The data shown below were collected from the profiles of 18 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 20%
Student > Ph. D. Student 10 18%
Student > Master 8 14%
Researcher 5 9%
Other 5 9%
Other 4 7%
Unknown 13 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 30%
Medicine and Dentistry 12 21%
Agricultural and Biological Sciences 5 9%
Nursing and Health Professions 2 4%
Computer Science 2 4%
Other 5 9%
Unknown 13 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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
#1,829,291
of 17,060,012 outputs
Outputs from Human Mutation
#129
of 2,504 outputs
Outputs of similar age
#45,817
of 281,160 outputs
Outputs of similar age from Human Mutation
#6
of 50 outputs
Altmetric has tracked 17,060,012 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,504 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 94% 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 281,160 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 83% of its contemporaries.
We're also able to compare this research output to 50 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 90% of its contemporaries.