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Deep Sequencing of Organ- and Stage-Specific microRNAs in the Evolutionarily Basal Insect Blattella germanica (L.) (Dictyoptera, Blattellidae)

Overview of attention for article published in PLOS ONE, April 2011
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Title
Deep Sequencing of Organ- and Stage-Specific microRNAs in the Evolutionarily Basal Insect Blattella germanica (L.) (Dictyoptera, Blattellidae)
Published in
PLOS ONE, April 2011
DOI 10.1371/journal.pone.0019350
Pubmed ID
Authors

Alexandre S. Cristino, Erica D. Tanaka, Mercedes Rubio, Maria-Dolors Piulachs, Xavier Belles

Abstract

microRNAs (miRNAs) have been reported as key regulators at post-transcriptional level in eukaryotic cells. In insects, most of the studies have focused in holometabolans while only recently two hemimetabolans (Locusta migratoria and Acyrthosiphon pisum) have had their miRNAs identified. Therefore, the study of the miRNAs of the evolutionarily basal hemimetabolan Blattella germanica may provide valuable insights on the structural and functional evolution of miRNAs.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 4%
Spain 2 3%
Germany 1 1%
China 1 1%
United States 1 1%
Unknown 71 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 29%
Student > Ph. D. Student 18 23%
Student > Master 11 14%
Student > Bachelor 5 6%
Student > Doctoral Student 3 4%
Other 9 11%
Unknown 10 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 58%
Biochemistry, Genetics and Molecular Biology 13 16%
Environmental Science 2 3%
Computer Science 2 3%
Economics, Econometrics and Finance 1 1%
Other 2 3%
Unknown 13 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 April 2012.
All research outputs
#18,305,773
of 22,664,644 outputs
Outputs from PLOS ONE
#153,773
of 193,509 outputs
Outputs of similar age
#95,547
of 109,939 outputs
Outputs of similar age from PLOS ONE
#1,269
of 1,484 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 10th percentile – i.e., 10% 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 109,939 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,484 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.