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How microbiology helps define the rhizome of life

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, January 2012
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
How microbiology helps define the rhizome of life
Published in
Frontiers in Cellular and Infection Microbiology, January 2012
DOI 10.3389/fcimb.2012.00060
Pubmed ID
Authors

Kalliopi Georgiades, Didier Raoult

Abstract

In contrast to the tree of life (TOF) theory, species are mosaics of gene sequences with different origins. Observations of the extensive lateral sequence transfers in all organisms have demonstrated that the genomes of all life forms are collections of genes with different evolutionary histories that cannot be represented by a single TOF. Moreover, genes themselves commonly have several origins due to recombination. The human genome is not free from recombination events, so it is a mosaic like other organisms' genomes. Recent studies have demonstrated evidence for the integration of parasitic DNA into the human genome. Lateral transfer events have been accepted as major contributors of genome evolution in free-living bacteria. Furthermore, the accumulation of genomic sequence data provides evidence for extended genetic exchanges in intracellular bacteria and suggests that such events constitute an agent that promotes and maintains all bacterial species. Archaea and viruses also form chimeras containing primarily bacterial but also eukaryotic sequences. In addition to lateral transfers, orphan genes are indicative of the fact that gene creation is a permanent and unsettled phenomenon. Currently, a rhizome may more adequately represent the multiplicity and de novo creation of a genome. We wanted to confirm that the term "rhizome" in evolutionary biology applies to the entire cellular life history. This view of evolution should resemble a clump of roots representing the multiple origins of the repertoires of the genes of each species.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Mexico 1 3%
Norway 1 3%
Brazil 1 3%
Unknown 33 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 32%
Student > Ph. D. Student 7 18%
Student > Doctoral Student 5 13%
Student > Bachelor 3 8%
Professor > Associate Professor 3 8%
Other 5 13%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 58%
Biochemistry, Genetics and Molecular Biology 8 21%
Computer Science 1 3%
Environmental Science 1 3%
Unknown 6 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 July 2015.
All research outputs
#12,568,434
of 22,675,759 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#1,652
of 6,287 outputs
Outputs of similar age
#141,078
of 244,088 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#50
of 109 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 73% 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 244,088 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 109 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 54% of its contemporaries.