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Genome-wide analysis of chemically induced mutations in mouse in phenotype-driven screens

Overview of attention for article published in BMC Genomics, October 2015
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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5 tweeters

Citations

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17 Dimensions

Readers on

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16 Mendeley
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Title
Genome-wide analysis of chemically induced mutations in mouse in phenotype-driven screens
Published in
BMC Genomics, October 2015
DOI 10.1186/s12864-015-2073-4
Pubmed ID
Authors

Denis C. Bauer, Brendan J. McMorran, Simon J. Foote, Gaetan Burgio

Abstract

N-ethyl-N-nitrosourea (ENU) mutagen has become the method of choice for inducing random mutations for forward genetics applications. However, distinguishing induced mutations from sequencing errors or sporadic mutations is difficult, which has hampered surveys of potential biases in the methodology in the past. Addressing this issue, we created a large cohort of mice with biological replicates enabling the confident calling of induced mutations, which in turn allowed us to conduct a comprehensive analysis of potential biases in mutation properties and genomic location. In the exome sequencing data we observe the known preference of ENU to cause [Formula: see text] transitions in longer genes. Mutations were frequently clustered and inherited in blocks hampering attempts to pinpoint individual causative mutations by genome analysis only. Furthermore, ENU mutations were biased towards areas in the genome that are accessible in testis, potentially limiting the scope of forward genetic approaches to only 1-10 % of the genome. ENU provides a powerful tool for exploring the genome-phenome relationship, however forward genetic applications that require the mutation to be passed on through the germ line may be limited to explore only genes that are accessible in testis.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 31%
Student > Ph. D. Student 3 19%
Student > Bachelor 2 13%
Professor 1 6%
Lecturer 1 6%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 38%
Biochemistry, Genetics and Molecular Biology 4 25%
Computer Science 1 6%
Immunology and Microbiology 1 6%
Engineering 1 6%
Other 0 0%
Unknown 3 19%

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 02 November 2015.
All research outputs
#10,156,123
of 17,358,590 outputs
Outputs from BMC Genomics
#4,549
of 9,281 outputs
Outputs of similar age
#134,475
of 291,111 outputs
Outputs of similar age from BMC Genomics
#518
of 996 outputs
Altmetric has tracked 17,358,590 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,281 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 48th percentile – i.e., 48% 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 291,111 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 52% of its contemporaries.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.