↓ Skip to main content

MicroTar: predicting microRNA targets from RNA duplexes

Overview of attention for article published in BMC Bioinformatics, December 2006
Altmetric Badge

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
114 Dimensions

Readers on

mendeley
152 Mendeley
citeulike
8 CiteULike
connotea
3 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
MicroTar: predicting microRNA targets from RNA duplexes
Published in
BMC Bioinformatics, December 2006
DOI 10.1186/1471-2105-7-s5-s20
Pubmed ID
Authors

Rahul Thadani, Martti T Tammi

Abstract

The accurate prediction of a comprehensive set of messenger RNAs (targets) regulated by animal microRNAs (miRNAs) remains an open problem. In particular, the prediction of targets that do not possess evolutionarily conserved complementarity to their miRNA regulators is not adequately addressed by current tools.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 5%
Germany 3 2%
Italy 2 1%
Brazil 2 1%
India 1 <1%
Turkey 1 <1%
Thailand 1 <1%
United Kingdom 1 <1%
Greece 1 <1%
Other 1 <1%
Unknown 131 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 26%
Student > Ph. D. Student 36 24%
Student > Master 13 9%
Student > Bachelor 12 8%
Student > Doctoral Student 11 7%
Other 30 20%
Unknown 11 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 70 46%
Biochemistry, Genetics and Molecular Biology 26 17%
Computer Science 17 11%
Medicine and Dentistry 8 5%
Engineering 6 4%
Other 11 7%
Unknown 14 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 November 2008.
All research outputs
#7,454,298
of 22,789,076 outputs
Outputs from BMC Bioinformatics
#3,023
of 7,279 outputs
Outputs of similar age
#41,874
of 156,208 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 56 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,279 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 156,208 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.