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Selection of Target Sites for Mobile DNA Integration in the Human Genome

Overview of attention for article published in PLoS Computational Biology, November 2006
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
36 X users
q&a
1 Q&A thread

Citations

dimensions_citation
189 Dimensions

Readers on

mendeley
157 Mendeley
citeulike
5 CiteULike
connotea
2 Connotea
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Title
Selection of Target Sites for Mobile DNA Integration in the Human Genome
Published in
PLoS Computational Biology, November 2006
DOI 10.1371/journal.pcbi.0020157
Pubmed ID
Authors

Charles Berry, Sridhar Hannenhalli, Jeremy Leipzig, Frederic D Bushman

Abstract

DNA sequences from retroviruses, retrotransposons, DNA transposons, and parvoviruses can all become integrated into the human genome. Accumulation of such sequences accounts for at least 40% of our genome today. These integrating elements are also of interest as gene-delivery vectors for human gene therapy. Here we present a comprehensive bioinformatic analysis of integration targeting by HIV, MLV, ASLV, SFV, L1, SB, and AAV. We used a mathematical method which allowed annotation of each base pair in the human genome for its likelihood of hosting an integration event by each type of element, taking advantage of more than 200 types of genomic annotation. This bioinformatic resource documents a wealth of new associations between genomic features and integration targeting. The study also revealed that the length of genomic intervals analyzed strongly affected the conclusions drawn--thus, answering the question "What genomic features affect integration?" requires carefully specifying the length scale of interest.

X Demographics

X Demographics

The data shown below were collected from the profiles of 36 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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Finland 2 1%
Italy 1 <1%
Germany 1 <1%
United Kingdom 1 <1%
France 1 <1%
Unknown 146 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 25%
Student > Ph. D. Student 34 22%
Student > Master 16 10%
Professor > Associate Professor 12 8%
Student > Bachelor 7 4%
Other 21 13%
Unknown 27 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 38%
Biochemistry, Genetics and Molecular Biology 31 20%
Computer Science 11 7%
Medicine and Dentistry 9 6%
Immunology and Microbiology 9 6%
Other 10 6%
Unknown 28 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 09 May 2023.
All research outputs
#1,902,688
of 25,888,065 outputs
Outputs from PLoS Computational Biology
#1,639
of 9,065 outputs
Outputs of similar age
#5,488
of 169,709 outputs
Outputs of similar age from PLoS Computational Biology
#4
of 24 outputs
Altmetric has tracked 25,888,065 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,065 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. This one has done well, scoring higher than 81% 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 169,709 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.