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A hybrid qPCR/SNP array approach allows cost efficient assessment of KIR gene copy numbers in large samples

Overview of attention for article published in BMC Genomics, April 2014
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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6 X users

Citations

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13 Dimensions

Readers on

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26 Mendeley
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Title
A hybrid qPCR/SNP array approach allows cost efficient assessment of KIR gene copy numbers in large samples
Published in
BMC Genomics, April 2014
DOI 10.1186/1471-2164-15-274
Pubmed ID
Authors

Nikolas Pontikos, Deborah J Smyth, Helen Schuilenburg, Joanna MM Howson, Neil M Walker, Oliver S Burren, Hui Guo, Suna Onengut-Gumuscu, Wei-Min Chen, Patrick Concannon, Stephen S Rich, Jyothi Jayaraman, Wei Jiang, James A Traherne, John Trowsdale, John A Todd, Chris Wallace

Abstract

Killer Immunoglobulin-like Receptors (KIRs) are surface receptors of natural killer cells that bind to their corresponding Human Leukocyte Antigen (HLA) class I ligands, making them interesting candidate genes for HLA-associated autoimmune diseases, including type 1 diabetes (T1D). However, allelic and copy number variation in the KIR region effectively mask it from standard genome-wide association studies: single nucleotide polymorphism (SNP) probes targeting the region are often discarded by standard genotype callers since they exhibit variable cluster numbers. Quantitative Polymerase Chain Reaction (qPCR) assays address this issue. However, their cost is prohibitive at the sample sizes required for detecting effects typically observed in complex genetic diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Germany 1 4%
Unknown 24 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 38%
Student > Ph. D. Student 5 19%
Professor 2 8%
Student > Bachelor 2 8%
Professor > Associate Professor 2 8%
Other 2 8%
Unknown 3 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 31%
Biochemistry, Genetics and Molecular Biology 6 23%
Medicine and Dentistry 2 8%
Immunology and Microbiology 2 8%
Mathematics 1 4%
Other 3 12%
Unknown 4 15%
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 January 2024.
All research outputs
#7,640,258
of 25,235,161 outputs
Outputs from BMC Genomics
#3,252
of 11,200 outputs
Outputs of similar age
#68,186
of 233,672 outputs
Outputs of similar age from BMC Genomics
#37
of 167 outputs
Altmetric has tracked 25,235,161 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,200 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 70% 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 233,672 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 167 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.