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Detection of large deletions in the LDL receptor gene with quantitative PCR methods

Overview of attention for article published in BMC Medical Genomics, April 2005
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Mentioned by

patent
1 patent

Citations

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14 Dimensions

Readers on

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16 Mendeley
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Title
Detection of large deletions in the LDL receptor gene with quantitative PCR methods
Published in
BMC Medical Genomics, April 2005
DOI 10.1186/1471-2350-6-15
Pubmed ID
Authors

Dorte Damgaard, Peter H Nissen, Lillian G Jensen, Gitte G Nielsen, Anette Stenderup, Mogens L Larsen, Ole Faergeman

Abstract

Familial Hypercholesterolemia (FH) is a common genetic disease and at the molecular level most often due to mutations in the LDL receptor gene. In genetically heterogeneous populations, major structural rearrangements account for about 5% of patients with LDL receptor gene mutations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 25%
Student > Ph. D. Student 3 19%
Professor 2 13%
Researcher 2 13%
Student > Bachelor 1 6%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Medicine and Dentistry 6 38%
Agricultural and Biological Sciences 3 19%
Biochemistry, Genetics and Molecular Biology 2 13%
Energy 1 6%
Unknown 4 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 July 2015.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from BMC Medical Genomics
#637
of 2,444 outputs
Outputs of similar age
#24,455
of 69,707 outputs
Outputs of similar age from BMC Medical Genomics
#2
of 3 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 65% 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 69,707 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.