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Premature terminator analysis sheds light on a hidden world of bacterial transcriptional attenuation

Overview of attention for article published in Genome Biology (Online Edition), January 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)

Mentioned by

twitter
2 tweeters
patent
1 patent
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
59 Mendeley
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Title
Premature terminator analysis sheds light on a hidden world of bacterial transcriptional attenuation
Published in
Genome Biology (Online Edition), January 2010
DOI 10.1186/gb-2010-11-9-r97
Pubmed ID
Authors

Magali Naville, Daniel Gautheret

Abstract

Bacterial transcription attenuation occurs through a variety of cis-regulatory elements that control gene expression in response to a wide range of signals. The signal-sensing structures in attenuators are so diverse and rapidly evolving that only a small fraction have been properly annotated and characterized to date. Here we apply a broad-spectrum detection tool in order to achieve a more complete view of the transcriptional attenuation complement of key bacterial species.

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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Denmark 1 2%
China 1 2%
United States 1 2%
Poland 1 2%
Unknown 54 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 27%
Researcher 12 20%
Student > Master 10 17%
Professor > Associate Professor 6 10%
Professor 4 7%
Other 9 15%
Unknown 2 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 59%
Biochemistry, Genetics and Molecular Biology 13 22%
Immunology and Microbiology 3 5%
Engineering 2 3%
Mathematics 1 2%
Other 2 3%
Unknown 3 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 09 February 2017.
All research outputs
#3,093,838
of 17,361,274 outputs
Outputs from Genome Biology (Online Edition)
#2,137
of 3,593 outputs
Outputs of similar age
#52,911
of 298,296 outputs
Outputs of similar age from Genome Biology (Online Edition)
#6
of 6 outputs
Altmetric has tracked 17,361,274 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,593 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one is in the 40th percentile – i.e., 40% 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 298,296 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 81% 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.