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What is normal? Next generation sequencing-driven analysis of the human circulating miRNAOme

Overview of attention for article published in BMC Molecular and Cell Biology, February 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#46 of 1,233)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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1 blog
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7 X users

Citations

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30 Dimensions

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64 Mendeley
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Title
What is normal? Next generation sequencing-driven analysis of the human circulating miRNAOme
Published in
BMC Molecular and Cell Biology, February 2016
DOI 10.1186/s12867-016-0057-9
Pubmed ID
Authors

D. P. Tonge, T. W. Gant

Abstract

MicroRNAs (miRNAs) are short non-protein-coding RNA species that have a regulatory function in modulating protein translation and degradation of specific mRNAs. MicroRNAs are estimated to target approximately 60 % of all human mRNAs and are associated with the regulation of all physiological processes. Similar to many messenger RNAs (mRNA), miRNAs exhibit marked tissue specificity, and appear to be dysregulated in response to specific pathological conditions. Perhaps, one of the most significant findings is that miRNAs are detectable in various biological fluids and are stable during routine clinical processing, paving the way for their use as novel biomarkers. Despite an increasing number of publications reporting individual miRNAs or miRNA signatures to be diagnostic of disease or indicative of response to therapy, there is still a paucity of baseline data necessary for their validation. To this end, we utilised state of the art sequencing technologies to determine the global expression of all circulating miRNAs within the plasma of 18 disease-free human subjects. In excess of 500 miRNAs were detected in our study population with expression levels across several orders of magnitude. Ten highly expressed miRNAs accounted for 90 % of the total reads that mapped showing that despite the range of miRNAs present, the total miRNA load of the plasma was predominated by just these few species (50 % of which are blood cell associated). Ranges of expression were determined for all miRNA detected (>500) and a set of highly stable miRNAs identified. Finally, the effects of gender, smoking status and body mass index on miRNA expression were determined. The data contained within will be of particular use to researchers performing miRNA-based biomarker screening in plasma and allow shortlisting of candidates a priori to expedite discovery or reduce costs as required.

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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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 2%
Italy 1 2%
Unknown 62 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 30%
Student > Ph. D. Student 15 23%
Student > Master 5 8%
Student > Bachelor 5 8%
Student > Doctoral Student 4 6%
Other 9 14%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 38%
Biochemistry, Genetics and Molecular Biology 14 22%
Medicine and Dentistry 10 16%
Immunology and Microbiology 2 3%
Computer Science 1 2%
Other 5 8%
Unknown 8 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 12 January 2017.
All research outputs
#3,313,439
of 25,374,917 outputs
Outputs from BMC Molecular and Cell Biology
#46
of 1,233 outputs
Outputs of similar age
#56,331
of 409,555 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#1
of 24 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,233 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 96% 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 409,555 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.