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Genetic sex determination of mice by simplex PCR

Overview of attention for article published in Biology of Sex Differences, October 2017
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Mentioned by

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2 tweeters
facebook
3 Facebook pages

Citations

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45 Dimensions

Readers on

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113 Mendeley
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Title
Genetic sex determination of mice by simplex PCR
Published in
Biology of Sex Differences, October 2017
DOI 10.1186/s13293-017-0154-6
Pubmed ID
Authors

Simon James Tunster

Abstract

Investigating fetal development in mice necessitates the determination of fetal sex. However, whilst the sex of adult and juvenile mice can be readily distinguished from anogenital distance, the sex of fetal and neonatal mice cannot be identified visually. Instead, genetic sex must be determined by PCR amplification of X chromosome genes with divergent Y chromosome gametologs. Existing simplex PCR methods are confounded by small size differences between amplicons, amplification of unexpected products, and biased amplification of the shorter amplicon. Primers were designed flanking an 84 bp deletion of the X-linked Rbm31x gene relative to its Y-linked gametolog Rbm31y. A single product was amplified from XX samples, with two products amplified from XY samples. Amplicons were resolved by gel electrophoresis for 20 min, with unbiased amplification of both products observed in XY samples. This method achieves rapid and unequivocal genetic sex determination of mice in low volume PCR reactions, reducing reagent usage and simultaneously eliminating shortcomings of previous methods.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 113 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 27%
Researcher 19 17%
Student > Master 11 10%
Student > Bachelor 9 8%
Other 7 6%
Other 13 12%
Unknown 23 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 27%
Agricultural and Biological Sciences 19 17%
Neuroscience 13 12%
Medicine and Dentistry 9 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 15 13%
Unknown 23 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 October 2017.
All research outputs
#14,366,847
of 23,006,268 outputs
Outputs from Biology of Sex Differences
#319
of 473 outputs
Outputs of similar age
#181,396
of 326,542 outputs
Outputs of similar age from Biology of Sex Differences
#5
of 6 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 473 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 326,542 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.