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Analysis of CACTA transposases reveals intron loss as major factor influencing their exon/intron structure in monocotyledonous and eudicotyledonous hosts

Overview of attention for article published in Mobile DNA, September 2014
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Title
Analysis of CACTA transposases reveals intron loss as major factor influencing their exon/intron structure in monocotyledonous and eudicotyledonous hosts
Published in
Mobile DNA, September 2014
DOI 10.1186/1759-8753-5-24
Pubmed ID
Authors

Jan P Buchmann, Ari Löytynoja, Thomas Wicker, Alan H Schulman

Abstract

CACTA elements are DNA transposons and are found in numerous organisms. Despite their low activity, several thousand copies can be identified in many genomes. CACTA elements transpose using a 'cut-and-paste' mechanism, which is facilitated by a DDE transposase. DDE transposases from CACTA elements contain, despite their conserved function, different exon numbers among various CACTA families. While earlier studies analyzed the ancestral history of the DDE transposases, no studies have examined exon loss and gain with a view of mechanisms that could drive the changes.

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The data shown below were collected from the profiles of 2 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 6%
Czechia 1 3%
United States 1 3%
Unknown 31 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 34%
Student > Master 4 11%
Student > Bachelor 2 6%
Professor 2 6%
Student > Ph. D. Student 2 6%
Other 6 17%
Unknown 7 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 57%
Biochemistry, Genetics and Molecular Biology 7 20%
Environmental Science 1 3%
Unknown 7 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 September 2014.
All research outputs
#17,725,418
of 22,761,738 outputs
Outputs from Mobile DNA
#305
of 335 outputs
Outputs of similar age
#159,577
of 237,234 outputs
Outputs of similar age from Mobile DNA
#4
of 4 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 335 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 6th percentile – i.e., 6% 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 237,234 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.