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Pedigree and genotyping quality analyses of over 10,000 DNA samples from the Generation Scotland: Scottish Family Health Study

Overview of attention for article published in BMC Medical Genomics, March 2013
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Title
Pedigree and genotyping quality analyses of over 10,000 DNA samples from the Generation Scotland: Scottish Family Health Study
Published in
BMC Medical Genomics, March 2013
DOI 10.1186/1471-2350-14-38
Pubmed ID
Authors

Shona M Kerr, Archie Campbell, Lee Murphy, Caroline Hayward, Cathy Jackson, Louise V Wain, Martin D Tobin, Anna Dominiczak, Andrew Morris, Blair H Smith, David J Porteous

Abstract

Generation Scotland: Scottish Family Health Study (GS:SFHS) is a family-based biobank of 24,000 participants with rich phenotype and DNA available for genetic research. This paper describes the laboratory results from genotyping 32 single nucleotide polymorphisms (SNPs) on DNA from over 10,000 participants who attended GS:SFHS research clinics. The analysis described here was undertaken to test the quality of genetic information available to researchers. The success rate of each marker genotyped (call rate), minor allele frequency and adherence to Mendelian inheritance are presented. The few deviations in marker transmission in the 925 parent-child trios analysed were assessed as to whether they were likely to be miscalled genotypes, data or sample handling errors, or pedigree inaccuracies including non-paternity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Netherlands 1 2%
Unknown 63 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 26%
Student > Ph. D. Student 11 17%
Professor 7 11%
Student > Master 7 11%
Professor > Associate Professor 4 6%
Other 10 15%
Unknown 9 14%
Readers by discipline Count As %
Medicine and Dentistry 16 25%
Agricultural and Biological Sciences 10 15%
Biochemistry, Genetics and Molecular Biology 8 12%
Psychology 6 9%
Social Sciences 3 5%
Other 8 12%
Unknown 14 22%
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 13 May 2019.
All research outputs
#14,599,900
of 25,373,627 outputs
Outputs from BMC Medical Genomics
#894
of 2,444 outputs
Outputs of similar age
#112,383
of 209,901 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 18 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% 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 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 209,901 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 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 66% of its contemporaries.