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Characterization and Identification of MicroRNA Core Promoters in Four Model Species

Overview of attention for article published in PLoS Computational Biology, March 2007
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

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2 weibo users
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6 Wikipedia pages

Citations

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269 Dimensions

Readers on

mendeley
328 Mendeley
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22 CiteULike
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4 Connotea
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Title
Characterization and Identification of MicroRNA Core Promoters in Four Model Species
Published in
PLoS Computational Biology, March 2007
DOI 10.1371/journal.pcbi.0030037
Pubmed ID
Authors

Xuefeng Zhou, Jianhua Ruan, Guandong Wang, Weixiong Zhang

Abstract

MicroRNAs are short, noncoding RNAs that play important roles in post-transcriptional gene regulation. Although many functions of microRNAs in plants and animals have been revealed in recent years, the transcriptional mechanism of microRNA genes is not well-understood. To elucidate the transcriptional regulation of microRNA genes, we study and characterize, in a genome scale, the promoters of intergenic microRNA genes in Caenorhabditis elegans, Homo sapiens, Arabidopsis thaliana, and Oryza sativa. We show that most known microRNA genes in these four species have the same type of promoters as protein-coding genes have. To further characterize the promoters of microRNA genes, we developed a novel promoter prediction method, called common query voting (CoVote), which is more effective than available promoter prediction methods. Using this new method, we identify putative core promoters of most known microRNA genes in the four model species. Moreover, we characterize the promoters of microRNA genes in these four species. We discover many significant, characteristic sequence motifs in these core promoters, several of which match or resemble the known cis-acting elements for transcription initiation. Among these motifs, some are conserved across different species while some are specific to microRNA genes of individual species.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 328 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 3%
United Kingdom 6 2%
Germany 3 <1%
Greece 2 <1%
Norway 2 <1%
India 2 <1%
Mexico 2 <1%
Sweden 1 <1%
Brazil 1 <1%
Other 9 3%
Unknown 291 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 91 28%
Researcher 75 23%
Student > Master 40 12%
Professor > Associate Professor 30 9%
Student > Bachelor 21 6%
Other 47 14%
Unknown 24 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 191 58%
Biochemistry, Genetics and Molecular Biology 45 14%
Medicine and Dentistry 20 6%
Computer Science 13 4%
Neuroscience 6 2%
Other 20 6%
Unknown 33 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 February 2024.
All research outputs
#7,031,685
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#4,744
of 9,003 outputs
Outputs of similar age
#28,560
of 89,975 outputs
Outputs of similar age from PLoS Computational Biology
#10
of 24 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 9,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 47th percentile – i.e., 47% 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 89,975 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 68% 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 58% of its contemporaries.