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Unique transposon landscapes are pervasive across Drosophila melanogaster genomes

Overview of attention for article published in Nucleic Acids Research, November 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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2 blogs
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112 Mendeley
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1 CiteULike
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Article details
Title
Unique transposon landscapes are pervasive across Drosophila melanogaster genomes
Published in
Nucleic Acids Research, November 2015
DOI 10.1093/nar/gkv1193
Pubmed ID
Authors
Abstract

To understand how transposon landscapes (TLs) vary across animal genomes, we describe a new method called the Transposon Insertion and Depletion AnaLyzer (TIDAL) and a database of >300 TLs in Drosophila melanogaster (TIDAL-Fly). Our analysis reveals pervasive TL diversity across cell lines and fly strains, even for identically named sub-strains from different laboratories such as the ISO1 strain used for the reference genome sequence. On average, >500 novel insertions exist in every lab strain, inbred strains of the Drosophila Genetic Reference Panel (DGRP), and fly isolates in the Drosophila Genome Nexus (DGN). A minority (<25%) of transposon families comprise the majority (>70%) of TL diversity across fly strains. A sharp contrast between insertion and depletion patterns indicates that many transposons are unique to the ISO1 reference genome sequence. Although TL diversity from fly strains reaches asymptotic limits with increasing sequencing depth, rampant TL diversity causes unsaturated detection of TLs in pools of flies. Finally, we show novel transposon insertions negatively correlate with Piwi-interacting RNA (piRNA) levels for most transposon families, except for the highly-abundant roo retrotransposon. Our study provides a useful resource for Drosophila geneticists to understand how transposons create extensive genomic diversity in fly cell lines and strains.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 2%
Brazil 2 2%
Russia 1 <1%
Japan 1 <1%
Spain 1 <1%
Germany 1 <1%
Unknown 104 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 28 25%
Researcher 26 23%
Student > Master 12 11%
Student > Bachelor 7 6%
Professor > Associate Professor 5 4%
Other 14 13%
Unknown 20 18%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 51 46%
Biochemistry, Genetics and Molecular Biology 29 26%
Engineering 3 3%
Computer Science 2 2%
Social Sciences 2 2%
Other 2 2%
Unknown 23 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 13 July 2019.
All research outputs
#2,437,970
of 34,205,147 outputs
Outputs from Nucleic Acids Research
#2,459
of 33,838 outputs
Outputs of similar age
#31,199
of 440,662 outputs
Outputs of similar age from Nucleic Acids Research
#60
of 420 outputs
Altmetric has tracked 34,205,147 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 33,838 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 92% 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 440,662 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 92% of its contemporaries.
We're also able to compare this research output to 420 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.