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Computational identification of microRNAs in Anatid herpesvirus 1 genome

Overview of attention for article published in Virology Journal, May 2012
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Title
Computational identification of microRNAs in Anatid herpesvirus 1 genome
Published in
Virology Journal, May 2012
DOI 10.1186/1743-422x-9-93
Pubmed ID
Authors

Jun Xiang, Anchun Cheng, Mingshu Wang, Shunchuan Zhang, Dekang Zhu, Renyong Jia, Shun Chen, Yi Zhou, Xiaoyu Wang, Xiaoyue Chen

Abstract

MicroRNAs (miRNAs) are a group of short (~22 nt) noncoding RNAs that specifically regulate gene expression at the post-transcriptional level. miRNA precursors (pre-miRNAs), which are imperfect stem loop structures of ~70 nt, are processed into mature miRNAs by cellular RNases III. To date, thousands of miRNAs have been identified in different organisms. Several viruses have been reported to encode 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 22%
Student > Ph. D. Student 4 22%
Researcher 3 17%
Professor > Associate Professor 2 11%
Student > Master 2 11%
Other 2 11%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 33%
Biochemistry, Genetics and Molecular Biology 5 28%
Chemistry 2 11%
Immunology and Microbiology 1 6%
Veterinary Science and Veterinary Medicine 1 6%
Other 0 0%
Unknown 3 17%
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 15 May 2012.
All research outputs
#20,157,329
of 22,665,794 outputs
Outputs from Virology Journal
#2,863
of 3,029 outputs
Outputs of similar age
#148,521
of 163,891 outputs
Outputs of similar age from Virology Journal
#35
of 43 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,029 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one is in the 1st percentile – i.e., 1% 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 163,891 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.