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Horizontal gene transfer in plants

Overview of attention for article published in Functional & Integrative Genomics, October 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 572)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
wikipedia
1 Wikipedia page
video
1 YouTube creator

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
232 Mendeley
Title
Horizontal gene transfer in plants
Published in
Functional & Integrative Genomics, October 2013
DOI 10.1007/s10142-013-0345-0
Pubmed ID
Authors

Caihua Gao, Xiaodong Ren, Annaliese S. Mason, Honglei Liu, Meili Xiao, Jiana Li, Donghui Fu

Abstract

Horizontal gene transfer (HGT) describes the transmission of genetic material across species boundaries. HGT often occurs in microbic and eukaryotic genomes. However, the pathways by which HGTs occur in multicellular eukaryotes, especially in plants, are not well understood. We systematically summarized more than ten possible pathways for HGT. The intimate contact which frequently occurs in parasitism, symbiosis, pathogen, epiphyte, entophyte, and grafting interactions could promote HGTs between two species. Besides these direct transfer methods, genes can be exchanged with a vector as a bridge: possible vectors include pollen, fungi, bacteria, viruses, viroids, plasmids, transposons, and insects. HGT, especially when involving horizontal transfer of transposable elements, is recognized as a significant force propelling genomic variation and biological innovation, playing an important functional and evolutionary role in both eukaryotic and prokaryotic genomes. We proposed possible mechanisms by which HGTs can occur, which is useful in understanding the genetic information exchange among distant species or distant cellular components.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 1%
Brazil 2 <1%
France 1 <1%
Israel 1 <1%
Czechia 1 <1%
Mexico 1 <1%
Belgium 1 <1%
Philippines 1 <1%
Unknown 221 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 16%
Student > Master 36 16%
Researcher 30 13%
Student > Bachelor 25 11%
Student > Doctoral Student 18 8%
Other 40 17%
Unknown 46 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 111 48%
Biochemistry, Genetics and Molecular Biology 41 18%
Environmental Science 6 3%
Immunology and Microbiology 3 1%
Medicine and Dentistry 3 1%
Other 14 6%
Unknown 54 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 12 May 2023.
All research outputs
#2,789,369
of 23,749,054 outputs
Outputs from Functional & Integrative Genomics
#11
of 572 outputs
Outputs of similar age
#26,103
of 213,724 outputs
Outputs of similar age from Functional & Integrative Genomics
#1
of 6 outputs
Altmetric has tracked 23,749,054 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 572 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 98% 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 213,724 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them