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Current strategies for mobilome research

Overview of attention for article published in Frontiers in Microbiology, January 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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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11 X users
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1 Facebook page

Citations

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51 Dimensions

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206 Mendeley
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Title
Current strategies for mobilome research
Published in
Frontiers in Microbiology, January 2015
DOI 10.3389/fmicb.2014.00750
Pubmed ID
Authors

Tue S. Jørgensen, Anne S. Kiil, Martin A. Hansen, Søren J. Sørensen, Lars H. Hansen

Abstract

Mobile genetic elements (MGEs) are pivotal for bacterial evolution and adaptation, allowing shuffling of genes even between distantly related bacterial species. The study of these elements is biologically interesting as the mode of genetic propagation is kaleidoscopic and important, as MGEs are the main vehicles of the increasing bacterial antibiotic resistance that causes thousands of human deaths each year. The study of MGEs has previously focused on plasmids from individual isolates, but the revolution in sequencing technology has allowed the study of mobile genomic elements of entire communities using metagenomic approaches. The problem in using metagenomic sequencing for the study of MGEs is that plasmids and other mobile elements only comprise a small fraction of the total genetic content that are difficult to separate from chromosomal DNA based on sequence alone. The distinction between plasmid and chromosome is important as the mobility and regulation of genes largely depend on their genetic context. Several different approaches have been proposed that specifically enrich plasmid DNA from community samples. Here, we review recent approaches used to study entire plasmid pools from complex environments, and point out possible future developments for and pitfalls of these approaches. Further, we discuss the use of the PacBio long-read sequencing technology for MGE discovery.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 5 2%
United States 2 <1%
Denmark 1 <1%
Mexico 1 <1%
Spain 1 <1%
Estonia 1 <1%
Unknown 195 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 45 22%
Student > Ph. D. Student 40 19%
Student > Master 34 17%
Student > Bachelor 20 10%
Student > Doctoral Student 9 4%
Other 31 15%
Unknown 27 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 36%
Biochemistry, Genetics and Molecular Biology 42 20%
Environmental Science 17 8%
Immunology and Microbiology 14 7%
Medicine and Dentistry 7 3%
Other 18 9%
Unknown 34 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 22 April 2020.
All research outputs
#4,626,144
of 23,498,099 outputs
Outputs from Frontiers in Microbiology
#4,586
of 25,939 outputs
Outputs of similar age
#65,786
of 355,325 outputs
Outputs of similar age from Frontiers in Microbiology
#44
of 279 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 25,939 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 82% 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 355,325 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 81% of its contemporaries.
We're also able to compare this research output to 279 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.