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The prediction of the porcine pre-microRNAs in genome-wide based on support vector machine (SVM) and homology searching

Overview of attention for article published in BMC Genomics, December 2012
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Mentioned by

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1 tweeter

Citations

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3 Dimensions

Readers on

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10 Mendeley
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Title
The prediction of the porcine pre-microRNAs in genome-wide based on support vector machine (SVM) and homology searching
Published in
BMC Genomics, December 2012
DOI 10.1186/1471-2164-13-729
Pubmed ID
Authors

Zhen Wang, Kan He, Qishan Wang, Yumei Yang, Yuchun Pan

Abstract

MicroRNAs (miRNAs) are a class of small non-coding RNAs that regulate gene expression by targeting mRNAs for translation repression or mRNA degradation. Although many miRNAs have been discovered and studied in human and mouse, few studies focused on porcine miRNAs, especially in genome wide.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 50%
Student > Ph. D. Student 2 20%
Professor > Associate Professor 2 20%
Student > Master 1 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 30%
Computer Science 3 30%
Biochemistry, Genetics and Molecular Biology 2 20%
Veterinary Science and Veterinary Medicine 1 10%
Engineering 1 10%
Other 0 0%

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 27 December 2012.
All research outputs
#10,969,363
of 12,378,406 outputs
Outputs from BMC Genomics
#6,358
of 7,251 outputs
Outputs of similar age
#224,665
of 267,172 outputs
Outputs of similar age from BMC Genomics
#211
of 239 outputs
Altmetric has tracked 12,378,406 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 7,251 research outputs from this source. They receive a mean Attention Score of 4.3. 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 267,172 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 239 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.