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Multiple independent analyses reveal only transcription factors as an enriched functional class associated with microRNAs

Overview of attention for article published in BMC Systems Biology, July 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
54 Mendeley
citeulike
1 CiteULike
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Title
Multiple independent analyses reveal only transcription factors as an enriched functional class associated with microRNAs
Published in
BMC Systems Biology, July 2012
DOI 10.1186/1752-0509-6-90
Pubmed ID
Authors

Larry Croft, Damian Szklarczyk, Lars Juhl Jensen, Jan Gorodkin

Abstract

Transcription factors (TFs) have long been known to be principally activators of transcription in eukaryotes and prokaryotes. The growing awareness of the ubiquity of microRNAs (miRNAs) as suppressive regulators in eukaryotes, suggests the possibility of a mutual, preferential, self-regulatory connectivity between miRNAs and TFs. Here we investigate the connectivity from TFs and miRNAs to other genes and each other using text mining, TF promoter binding site and 6 different miRNA binding site prediction methods.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Germany 2 4%
Denmark 1 2%
United Kingdom 1 2%
Unknown 48 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 30%
Researcher 13 24%
Student > Master 7 13%
Student > Postgraduate 4 7%
Professor > Associate Professor 4 7%
Other 7 13%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 56%
Biochemistry, Genetics and Molecular Biology 9 17%
Computer Science 5 9%
Medicine and Dentistry 3 6%
Immunology and Microbiology 1 2%
Other 3 6%
Unknown 3 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 21 August 2012.
All research outputs
#4,572,857
of 22,678,224 outputs
Outputs from BMC Systems Biology
#144
of 1,142 outputs
Outputs of similar age
#31,972
of 164,301 outputs
Outputs of similar age from BMC Systems Biology
#4
of 37 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 87% 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 164,301 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.