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Treasure hunt in an amoeba: non-coding RNAs in Dictyostelium discoideum

Overview of attention for article published in Current Genetics, December 2006
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2 Wikipedia pages

Citations

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16 Dimensions

Readers on

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37 Mendeley
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2 CiteULike
Title
Treasure hunt in an amoeba: non-coding RNAs in Dictyostelium discoideum
Published in
Current Genetics, December 2006
DOI 10.1007/s00294-006-0112-z
Pubmed ID
Authors

Andrea Hinas, Fredrik Söderbom

Abstract

The traditional view of RNA being merely an intermediate in the transfer of genetic information, as mRNA, spliceosomal RNA, tRNA, and rRNA, has become outdated. The recent discovery of numerous regulatory RNAs with a plethora of functions in biological processes has truly revolutionized our understanding of gene regulation. Tiny RNAs such as microRNAs and small interfering RNAs play vital roles at different levels of gene control. Small nucleolar RNAs are much more abundant than previously recognized, and new functions beyond processing and modification of rRNA have recently emerged. Longer non-coding RNAs (ncRNAs) can also have important regulatory roles in the cell, e.g., antisense RNAs that control their target mRNAs. The majority of these important findings arose from analyses in various model organisms. In this review, we focus on ncRNAs in the social amoeba Dictyostelium discoideum. This important genetically tractable model organism has recently received renewed attention in terms of discovery, regulation and functional studies of ncRNAs. Old and recent findings are discussed and put in context of what we today know about ncRNAs in other organisms.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Germany 1 3%
Portugal 1 3%
Mexico 1 3%
United Kingdom 1 3%
Unknown 31 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 35%
Student > Bachelor 5 14%
Student > Ph. D. Student 4 11%
Professor > Associate Professor 3 8%
Student > Master 2 5%
Other 5 14%
Unknown 5 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 54%
Biochemistry, Genetics and Molecular Biology 4 11%
Computer Science 3 8%
Physics and Astronomy 2 5%
Social Sciences 1 3%
Other 1 3%
Unknown 6 16%
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 July 2010.
All research outputs
#7,454,427
of 22,789,566 outputs
Outputs from Current Genetics
#329
of 1,203 outputs
Outputs of similar age
#41,788
of 156,358 outputs
Outputs of similar age from Current Genetics
#1
of 4 outputs
Altmetric has tracked 22,789,566 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 1,203 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 39th percentile – i.e., 39% 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 156,358 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them