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Microarray analysis of ncRNA expression patterns in Caenorhabditis elegans after RNAi against snoRNA associated proteins

Overview of attention for article published in BMC Genomics, June 2008
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Title
Microarray analysis of ncRNA expression patterns in Caenorhabditis elegans after RNAi against snoRNA associated proteins
Published in
BMC Genomics, June 2008
DOI 10.1186/1471-2164-9-278
Pubmed ID
Authors

Muhammad Nauman Aftab, Housheng He, Geir Skogerbø, Runsheng Chen

Abstract

Short non-coding RNAs (ncRNAs) perform their cellular functions in ribonucleoprotein (RNP) complexes, which are also essential for maintaining the stability of the ncRNAs. Depletion of individual protein components of non-coding ribonucleoprotein (ncRNP) particles by RNA interference (RNAi) may therefore affect expression levels of the corresponding ncRNA, and depletion of candidate associated proteins may constitute an alternative strategy when investigating ncRNA-protein interactions and ncRNA functions. Therefore, we carried out a pilot study in which the effects of RNAi against protein components of small nucleolar RNPs (snoRNPs) in Caenorhabditis elegans were observed on an ncRNA microarray.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
United States 1 3%
Canada 1 3%
Brazil 1 3%
Unknown 30 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Researcher 9 26%
Student > Master 5 15%
Student > Postgraduate 3 9%
Student > Bachelor 3 9%
Other 4 12%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 62%
Biochemistry, Genetics and Molecular Biology 7 21%
Immunology and Microbiology 2 6%
Earth and Planetary Sciences 1 3%
Materials Science 1 3%
Other 0 0%
Unknown 2 6%
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 26 July 2022.
All research outputs
#7,524,294
of 22,962,258 outputs
Outputs from BMC Genomics
#3,626
of 10,686 outputs
Outputs of similar age
#28,717
of 82,351 outputs
Outputs of similar age from BMC Genomics
#10
of 32 outputs
Altmetric has tracked 22,962,258 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 10,686 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 82,351 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.