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Variant mapping and mutation discovery in inbred mice using next-generation sequencing

Overview of attention for article published in BMC Genomics, November 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
Variant mapping and mutation discovery in inbred mice using next-generation sequencing
Published in
BMC Genomics, November 2015
DOI 10.1186/s12864-015-2173-1
Pubmed ID
Authors

Jabier Gallego-Llamas, Andrew E. Timms, Krista A. Geister, Anna Lindsay, David R. Beier

Abstract

The development of powerful new methods for DNA sequencing enable the discovery of sequence variants, their utilization for the mapping of mutant loci, and the identification of causal variants in a single step. We have applied this approach for the analysis of ENU-mutagenized mice maintained on an inbred background. We ascertained ENU-induced variants in four different phenotypically mutant lines. These were then used as informative markers for positional cloning of the mutated genes. We tested both whole genome (WGS) and whole exome (WES) datasets. Both approaches were successful as a means to localize a region of homozygosity, as well as identifying mutations of candidate genes, which could be individually assessed. As expected, the WGS strategy was more reliable, since many more ENU-induced variants were ascertained.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 35%
Researcher 6 30%
Student > Bachelor 2 10%
Student > Master 1 5%
Lecturer 1 5%
Other 0 0%
Unknown 3 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 30%
Biochemistry, Genetics and Molecular Biology 6 30%
Veterinary Science and Veterinary Medicine 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Immunology and Microbiology 1 5%
Other 1 5%
Unknown 4 20%
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 14 November 2015.
All research outputs
#13,216,332
of 22,832,057 outputs
Outputs from BMC Genomics
#4,768
of 10,655 outputs
Outputs of similar age
#130,875
of 284,824 outputs
Outputs of similar age from BMC Genomics
#169
of 393 outputs
Altmetric has tracked 22,832,057 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 10,655 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 53% 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 284,824 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 53% of its contemporaries.
We're also able to compare this research output to 393 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 54% of its contemporaries.