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RiboFSM: Frequent subgraph mining for the discovery of RNA structures and interactions

Overview of attention for article published in BMC Bioinformatics, November 2014
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
13 Mendeley
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Title
RiboFSM: Frequent subgraph mining for the discovery of RNA structures and interactions
Published in
BMC Bioinformatics, November 2014
DOI 10.1186/1471-2105-15-s13-s2
Pubmed ID
Authors

Alex R Gawronski, Marcel Turcotte

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 38%
Student > Ph. D. Student 1 8%
Professor 1 8%
Unknown 6 46%
Readers by discipline Count As %
Computer Science 4 31%
Agricultural and Biological Sciences 1 8%
Business, Management and Accounting 1 8%
Neuroscience 1 8%
Engineering 1 8%
Other 0 0%
Unknown 5 38%
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 02 June 2015.
All research outputs
#15,310,081
of 22,770,070 outputs
Outputs from BMC Bioinformatics
#5,373
of 7,273 outputs
Outputs of similar age
#150,786
of 258,732 outputs
Outputs of similar age from BMC Bioinformatics
#93
of 135 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 258,732 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.