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Identification of cyanobacterial non-coding RNAs by comparative genome analysis

Overview of attention for article published in Genome Biology, August 2005
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

patent
1 patent
wikipedia
10 Wikipedia pages

Citations

dimensions_citation
125 Dimensions

Readers on

mendeley
146 Mendeley
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Title
Identification of cyanobacterial non-coding RNAs by comparative genome analysis
Published in
Genome Biology, August 2005
DOI 10.1186/gb-2005-6-9-r73
Pubmed ID
Authors

Ilka M Axmann, Philip Kensche, Jörg Vogel, Stefan Kohl, Hanspeter Herzel, Wolfgang R Hess

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
India 2 1%
Germany 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Netherlands 1 <1%
New Zealand 1 <1%
Canada 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 133 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 24%
Student > Ph. D. Student 32 22%
Student > Master 14 10%
Professor 13 9%
Professor > Associate Professor 9 6%
Other 26 18%
Unknown 17 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 77 53%
Biochemistry, Genetics and Molecular Biology 18 12%
Computer Science 5 3%
Engineering 5 3%
Immunology and Microbiology 4 3%
Other 15 10%
Unknown 22 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 May 2021.
All research outputs
#5,447,195
of 25,374,917 outputs
Outputs from Genome Biology
#2,944
of 4,467 outputs
Outputs of similar age
#12,895
of 68,548 outputs
Outputs of similar age from Genome Biology
#8
of 24 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 32nd percentile – i.e., 32% 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 68,548 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 70% of its contemporaries.
We're also able to compare this research output to 24 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 62% of its contemporaries.