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Comparative analysis of non-coding RNAs in the antibiotic-producing Streptomyces bacteria

Overview of attention for article published in BMC Genomics, August 2013
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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2 X users

Citations

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58 Dimensions

Readers on

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120 Mendeley
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1 CiteULike
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Title
Comparative analysis of non-coding RNAs in the antibiotic-producing Streptomyces bacteria
Published in
BMC Genomics, August 2013
DOI 10.1186/1471-2164-14-558
Pubmed ID
Authors

Matthew J Moody, Rachel A Young, Stephanie E Jones, Marie A Elliot

Abstract

Non-coding RNAs (ncRNAs) are key regulatory elements that control a wide range of cellular processes in all bacteria in which they have been studied. Taking advantage of recent technological innovations, we set out to fully explore the ncRNA potential of the multicellular, antibiotic-producing Streptomyces bacteria.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Finland 1 <1%
Iran, Islamic Republic of 1 <1%
Belgium 1 <1%
Denmark 1 <1%
Russia 1 <1%
United States 1 <1%
Unknown 113 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 31%
Researcher 23 19%
Student > Bachelor 14 12%
Student > Master 14 12%
Professor > Associate Professor 8 7%
Other 12 10%
Unknown 12 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 48%
Biochemistry, Genetics and Molecular Biology 28 23%
Immunology and Microbiology 8 7%
Engineering 3 3%
Medicine and Dentistry 2 2%
Other 5 4%
Unknown 17 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 August 2013.
All research outputs
#13,903,378
of 23,577,761 outputs
Outputs from BMC Genomics
#5,124
of 10,787 outputs
Outputs of similar age
#94,049
of 177,054 outputs
Outputs of similar age from BMC Genomics
#59
of 133 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 49th percentile – i.e., 49% 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 177,054 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 133 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 54% of its contemporaries.