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Intervening Sequences of Regularly Spaced Prokaryotic Repeats Derive from Foreign Genetic Elements

Overview of attention for article published in Journal of Molecular Evolution, February 2005
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 1,502)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Citations

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3489 Mendeley
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1 CiteULike
Title
Intervening Sequences of Regularly Spaced Prokaryotic Repeats Derive from Foreign Genetic Elements
Published in
Journal of Molecular Evolution, February 2005
DOI 10.1007/s00239-004-0046-3
Pubmed ID
Authors

Francisco J.M. Mojica, Chc)sar Díez-Villaseñor, Jesús García-Martínez, Elena Soria

Abstract

Prokaryotes contain short DN repeats known as CRISPR, recognizable by the regular spacing existing between the recurring units. They represent the most widely distributed family of repeats among prokaryotic genomes suggesting a biological function. The origin of the intervening sequences, at present unknown, could provide clues about their biological activities. Here we show that CRISPR spacers derive from preexisting sequences, either chromosomal or within transmissible genetic elements such as bacteriophages and conjugative plasmids. Remarkably, these extrachromosomal elements fail to infect the specific spacer-carrier strain, implying a relationship between CRISPR and immunity against targeted DNA. Bacteriophages and conjugative plasmids are involved in prokaryotic population control, evolution, and pathogenicity. All these biological traits could be influenced by the presence of specific spacers. CRISPR loci can be visualized as mosaics of a repeated unit, separated by sequences at some time present elsewhere in the cell.

X Demographics

X Demographics

The data shown below were collected from the profiles of 41 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 3,489 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 <1%
Spain 4 <1%
Brazil 3 <1%
Germany 3 <1%
Denmark 2 <1%
Japan 2 <1%
United Kingdom 2 <1%
Australia 1 <1%
New Zealand 1 <1%
Other 6 <1%
Unknown 3456 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 814 23%
Student > Master 561 16%
Student > Ph. D. Student 558 16%
Researcher 250 7%
Student > Doctoral Student 139 4%
Other 325 9%
Unknown 842 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1261 36%
Agricultural and Biological Sciences 766 22%
Immunology and Microbiology 120 3%
Medicine and Dentistry 92 3%
Engineering 61 2%
Other 274 8%
Unknown 915 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 284. 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 26 March 2024.
All research outputs
#126,516
of 25,837,817 outputs
Outputs from Journal of Molecular Evolution
#2
of 1,502 outputs
Outputs of similar age
#144
of 161,436 outputs
Outputs of similar age from Journal of Molecular Evolution
#1
of 13 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,502 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 99% 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 161,436 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.