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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 (58th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
18 Mendeley
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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.

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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 39%
Researcher 6 33%
Student > Bachelor 2 11%
Unspecified 1 6%
Unknown 2 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 33%
Agricultural and Biological Sciences 6 33%
Veterinary Science and Veterinary Medicine 1 6%
Unspecified 1 6%
Immunology and Microbiology 1 6%
Other 0 0%
Unknown 3 17%

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
#8,977,006
of 16,533,785 outputs
Outputs from BMC Genomics
#3,913
of 9,071 outputs
Outputs of similar age
#117,223
of 288,132 outputs
Outputs of similar age from BMC Genomics
#444
of 997 outputs
Altmetric has tracked 16,533,785 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,071 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 54% 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 288,132 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 58% of its contemporaries.
We're also able to compare this research output to 997 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 52% of its contemporaries.