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Refinement of Variant Selection for the LDL Cholesterol Genetic Risk Score in the Diagnosis of the Polygenic Form of Clinical Familial Hypercholesterolemia and Replication in Samples from 6 Countries

Overview of attention for article published in Clinical Chemistry, January 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

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167 Dimensions

Readers on

mendeley
190 Mendeley
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Title
Refinement of Variant Selection for the LDL Cholesterol Genetic Risk Score in the Diagnosis of the Polygenic Form of Clinical Familial Hypercholesterolemia and Replication in Samples from 6 Countries
Published in
Clinical Chemistry, January 2015
DOI 10.1373/clinchem.2014.231365
Pubmed ID
Authors

Marta Futema, Sonia Shah, Jackie A Cooper, KaWah Li, Ros A Whittall, Mahtab Sharifi, Olivia Goldberg, Euridiki Drogari, Vasiliki Mollaki, Albert Wiegman, Joep Defesche, Maria N D'Agostino, Antonietta D'Angelo, Paolo Rubba, Giuliana Fortunato, Małgorzata Waluś-Miarka, Robert A Hegele, Mary Aderayo Bamimore, Ronen Durst, Eran Leitersdorf, Monique T Mulder, Jeanine E Roeters van Lennep, Eric J G Sijbrands, John C Whittaker, Philippa J Talmud, Steve E Humphries

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
Unknown 188 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 17%
Researcher 31 16%
Student > Master 20 11%
Student > Bachelor 18 9%
Student > Doctoral Student 8 4%
Other 31 16%
Unknown 50 26%
Readers by discipline Count As %
Medicine and Dentistry 63 33%
Biochemistry, Genetics and Molecular Biology 32 17%
Agricultural and Biological Sciences 17 9%
Nursing and Health Professions 4 2%
Mathematics 4 2%
Other 14 7%
Unknown 56 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 July 2019.
All research outputs
#8,269,042
of 25,998,826 outputs
Outputs from Clinical Chemistry
#2,851
of 7,832 outputs
Outputs of similar age
#104,297
of 365,650 outputs
Outputs of similar age from Clinical Chemistry
#31
of 70 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,832 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 62% 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 365,650 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 70% of its contemporaries.
We're also able to compare this research output to 70 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 55% of its contemporaries.