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mirCoX: a database of miRNA-mRNA expression correlations derived from RNA-seq meta-analysis

Overview of attention for article published in BMC Bioinformatics, October 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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7 X users
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1 Google+ user

Citations

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17 Dimensions

Readers on

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48 Mendeley
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Title
mirCoX: a database of miRNA-mRNA expression correlations derived from RNA-seq meta-analysis
Published in
BMC Bioinformatics, October 2013
DOI 10.1186/1471-2105-14-s14-s17
Pubmed ID
Authors

Cory B Giles, Reshmi Girija-Devi, Mikhail G Dozmorov, Jonathan D Wren

Abstract

Experimentally validated co-expression correlations between miRNAs and genes are a valuable resource to corroborate observations about miRNA/mRNA changes after experimental perturbations, as well as compare miRNA target predictions with empirical observations. For example, when a given miRNA is transcribed, true targets of that miRNA should tend to have lower expression levels relative to when the miRNA is not expressed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 29%
Researcher 12 25%
Student > Master 7 15%
Student > Postgraduate 4 8%
Professor > Associate Professor 3 6%
Other 6 13%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 50%
Biochemistry, Genetics and Molecular Biology 13 27%
Computer Science 3 6%
Medicine and Dentistry 2 4%
Physics and Astronomy 1 2%
Other 3 6%
Unknown 2 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 March 2014.
All research outputs
#6,685,474
of 23,607,611 outputs
Outputs from BMC Bioinformatics
#2,523
of 7,409 outputs
Outputs of similar age
#59,241
of 211,061 outputs
Outputs of similar age from BMC Bioinformatics
#39
of 107 outputs
Altmetric has tracked 23,607,611 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,409 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 64% 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 211,061 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.