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The Clostridium small RNome that responds to stress: the paradigm and importance of toxic metabolite stress in C. acetobutylicum

Overview of attention for article published in BMC Genomics, December 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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1 X user
patent
1 patent

Citations

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49 Dimensions

Readers on

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77 Mendeley
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Title
The Clostridium small RNome that responds to stress: the paradigm and importance of toxic metabolite stress in C. acetobutylicum
Published in
BMC Genomics, December 2013
DOI 10.1186/1471-2164-14-849
Pubmed ID
Authors

Keerthi P Venkataramanan, Shawn W Jones, Kevin P McCormick, Sridhara G Kunjeti, Matthew T Ralston, Blake C Meyers, Eleftherios T Papoutsakis

Abstract

Small non-coding RNAs (sRNA) are emerging as major components of the cell's regulatory network, several possessing their own regulons. A few sRNAs have been reported as being involved in general or toxic-metabolite stress, mostly in Gram- prokaryotes, but hardly any in Gram+ prokaryotes. Significantly, the role of sRNAs in the stress response remains poorly understood at the genome-scale level. It was previously shown that toxic-metabolite stress is one of the most comprehensive and encompassing stress responses in the cell, engaging both the general stress (or heat-shock protein, HSP) response as well as specialized metabolic programs.

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

Geographical breakdown

Country Count As %
United States 1 1%
Netherlands 1 1%
Brazil 1 1%
Unknown 74 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 27%
Researcher 16 21%
Student > Bachelor 7 9%
Student > Doctoral Student 5 6%
Professor > Associate Professor 5 6%
Other 13 17%
Unknown 10 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 47%
Biochemistry, Genetics and Molecular Biology 14 18%
Chemical Engineering 5 6%
Computer Science 3 4%
Engineering 3 4%
Other 4 5%
Unknown 12 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 03 January 2023.
All research outputs
#7,831,597
of 25,089,705 outputs
Outputs from BMC Genomics
#3,440
of 11,153 outputs
Outputs of similar age
#88,314
of 320,765 outputs
Outputs of similar age from BMC Genomics
#145
of 444 outputs
Altmetric has tracked 25,089,705 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 11,153 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 67% 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 320,765 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 444 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 66% of its contemporaries.