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Discovery of transgene insertion sites by high throughput sequencing of mate pair libraries

Overview of attention for article published in BMC Genomics, May 2014
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4 X users

Citations

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28 Dimensions

Readers on

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39 Mendeley
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2 CiteULike
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Title
Discovery of transgene insertion sites by high throughput sequencing of mate pair libraries
Published in
BMC Genomics, May 2014
DOI 10.1186/1471-2164-15-367
Pubmed ID
Authors

Anuj Srivastava, Vivek M Philip, Ian Greenstein, Lucy B Rowe, Mary Barter, Cathleen Lutz, Laura G Reinholdt

Abstract

Transgenesis by random integration of a transgene into the genome of a zygote has become a reliable and powerful method for the creation of new mouse strains that express exogenous genes, including human disease genes, tissue specific reporter genes or genes that allow for tissue specific recombination. Nearly 6,500 transgenic alleles have been created by random integration in embryos over the last 30 years, but for the vast majority of these strains, the transgene insertion sites remain uncharacterized.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Netherlands 1 3%
Unknown 37 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 31%
Researcher 7 18%
Student > Bachelor 4 10%
Professor > Associate Professor 4 10%
Student > Master 3 8%
Other 4 10%
Unknown 5 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 49%
Biochemistry, Genetics and Molecular Biology 7 18%
Computer Science 2 5%
Neuroscience 2 5%
Medicine and Dentistry 2 5%
Other 2 5%
Unknown 5 13%
Attention Score in Context

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 17 January 2015.
All research outputs
#15,739,529
of 25,374,647 outputs
Outputs from BMC Genomics
#5,756
of 11,244 outputs
Outputs of similar age
#128,683
of 241,811 outputs
Outputs of similar age from BMC Genomics
#120
of 259 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 46th percentile – i.e., 46% 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 241,811 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 259 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 50% of its contemporaries.