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New connections in the prokaryotic toxin-antitoxin network: relationship with the eukaryotic nonsense-mediated RNA decay system

Overview of attention for article published in Genome Biology, November 2003
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Mentioned by

wikipedia
4 Wikipedia pages

Citations

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216 Dimensions

Readers on

mendeley
165 Mendeley
citeulike
1 CiteULike
Title
New connections in the prokaryotic toxin-antitoxin network: relationship with the eukaryotic nonsense-mediated RNA decay system
Published in
Genome Biology, November 2003
DOI 10.1186/gb-2003-4-12-r81
Pubmed ID
Authors

Vivek Anantharaman, L Aravind

Abstract

Several prokaryotic plasmids maintain themselves in their hosts by means of diverse post-segregational cell killing systems. Recent findings suggest that chromosomally encoded copies of toxins and antitoxins of post-segregational cell killing systems - such as the RelE system - might function as regulatory switches under stress conditions. The RelE toxin cleaves ribosome-associated transcripts, whereas another post-segregational cell killing toxin, ParE, functions as a gyrase inhibitor.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
Australia 2 1%
Switzerland 1 <1%
Malaysia 1 <1%
Brazil 1 <1%
Slovakia 1 <1%
Argentina 1 <1%
Poland 1 <1%
Unknown 155 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 23%
Researcher 37 22%
Student > Master 27 16%
Student > Bachelor 18 11%
Professor > Associate Professor 13 8%
Other 22 13%
Unknown 10 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 93 56%
Biochemistry, Genetics and Molecular Biology 33 20%
Immunology and Microbiology 9 5%
Environmental Science 5 3%
Medicine and Dentistry 3 2%
Other 9 5%
Unknown 13 8%
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 14 September 2019.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#36,002
of 142,426 outputs
Outputs of similar age from Genome Biology
#6
of 17 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 14th percentile – i.e., 14% 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 142,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.