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Compositional discordance between prokaryotic plasmids and host chromosomes

Overview of attention for article published in BMC Genomics, February 2006
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Mentioned by

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2 tweeters

Citations

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40 Dimensions

Readers on

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37 Mendeley
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2 CiteULike

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Title
Compositional discordance between prokaryotic plasmids and host chromosomes
Published in
BMC Genomics, February 2006
DOI 10.1186/1471-2164-7-26
Pubmed ID
16480495
Authors

Mark WJ van Passel, Aldert Bart, Angela CM Luyf, Antoine HC van Kampen, Arie van der Ende

Abstract

Most plasmids depend on the host replication machinery and possess partitioning genes. These properties confine plasmids to a limited range of hosts, yielding a close and presumably stable relationship between plasmid and host. Hence, it is anticipated that due to amelioration the dinucleotide composition of plasmids is similar to that of the genome of their hosts. However, plasmids are also thought to play a major role in horizontal gene transfer and thus are frequently exchanged between hosts, suggesting dinucleotide composition dissimilarity between plasmid and host genome. We compared the dinucleotide composition of a large collection of plasmids with that of their host genomes to shed more light on this enigma.

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Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 27%
Student > Ph. D. Student 8 22%
Professor > Associate Professor 4 11%
Professor 3 8%
Student > Postgraduate 3 8%
Other 6 16%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 51%
Immunology and Microbiology 4 11%
Biochemistry, Genetics and Molecular Biology 3 8%
Medicine and Dentistry 2 5%
Computer Science 1 3%
Other 3 8%
Unknown 5 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 September 2013.
All research outputs
#7,383,442
of 12,373,386 outputs
Outputs from BMC Genomics
#4,194
of 7,296 outputs
Outputs of similar age
#109,242
of 223,656 outputs
Outputs of similar age from BMC Genomics
#178
of 316 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,296 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 42nd percentile – i.e., 42% 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 223,656 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 316 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.

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