↓ Skip to main content

Using bioinformatic and phylogenetic approaches to classify transposable elements and understand their complex evolutionary histories

Overview of attention for article published in Mobile DNA, December 2017
Altmetric Badge

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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
25 X users

Readers on

mendeley
225 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Using bioinformatic and phylogenetic approaches to classify transposable elements and understand their complex evolutionary histories
Published in
Mobile DNA, December 2017
DOI 10.1186/s13100-017-0103-2
Pubmed ID
Authors

Irina R. Arkhipova

Abstract

In recent years, much attention has been paid to comparative genomic studies of transposable elements (TEs) and the ensuing problems of their identification, classification, and annotation. Different approaches and diverse automated pipelines are being used to catalogue and categorize mobile genetic elements in the ever-increasing number of prokaryotic and eukaryotic genomes, with little or no connectivity between different domains of life. Here, an overview of the current picture of TE classification and evolutionary relationships is presented, updating the diversity of TE types uncovered in sequenced genomes. A tripartite TE classification scheme is proposed to account for their replicative, integrative, and structural components, and the need to expand in vitro and in vivo studies of their structural and biological properties is emphasized. Bioinformatic studies have now become front and center of novel TE discovery, and experimental pursuits of these discoveries hold great promise for both basic and applied science.

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 225 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 20%
Student > Master 36 16%
Researcher 35 16%
Student > Bachelor 23 10%
Student > Doctoral Student 14 6%
Other 32 14%
Unknown 40 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 80 36%
Biochemistry, Genetics and Molecular Biology 72 32%
Computer Science 9 4%
Immunology and Microbiology 4 2%
Engineering 3 1%
Other 12 5%
Unknown 45 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 December 2017.
All research outputs
#2,656,026
of 25,083,571 outputs
Outputs from Mobile DNA
#56
of 359 outputs
Outputs of similar age
#56,986
of 452,124 outputs
Outputs of similar age from Mobile DNA
#5
of 13 outputs
Altmetric has tracked 25,083,571 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 84% 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 452,124 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 13 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 69% of its contemporaries.