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miRandola: Extracellular Circulating MicroRNAs Database

Overview of attention for article published in PLOS ONE, October 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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5 X users
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1 Facebook page

Citations

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145 Dimensions

Readers on

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214 Mendeley
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3 CiteULike
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Title
miRandola: Extracellular Circulating MicroRNAs Database
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047786
Pubmed ID
Authors

Francesco Russo, Sebastiano Di Bella, Giovanni Nigita, Valentina Macca, Alessandro Laganà, Rosalba Giugno, Alfredo Pulvirenti, Alfredo Ferro

Abstract

MicroRNAs are small noncoding RNAs that play an important role in the regulation of various biological processes through their interaction with cellular messenger RNAs. They are frequently dysregulated in cancer and have shown great potential as tissue-based markers for cancer classification and prognostication. microRNAs are also present in extracellular human body fluids such as serum, plasma, saliva, and urine. Most of circulating microRNAs are present in human plasma and serum cofractionate with the Argonaute2 (Ago2) protein. However, circulating microRNAs have been also found in membrane-bound vesicles such as exosomes. Since microRNAs circulate in the bloodstream in a highly stable, extracellular form, they may be used as blood-based biomarkers for cancer and other diseases. A knowledge base of extracellular circulating miRNAs is a fundamental tool for biomedical research. In this work, we present miRandola, a comprehensive manually curated classification of extracellular circulating miRNAs. miRandola is connected to miRò, the miRNA knowledge base, allowing users to infer the potential biological functions of circulating miRNAs and their connections with phenotypes. The miRandola database contains 2132 entries, with 581 unique mature miRNAs and 21 types of samples. miRNAs are classified into four categories, based on their extracellular form: miRNA-Ago2 (173 entries), miRNA-exosome (856 entries), miRNA-HDL (20 entries) and miRNA-circulating (1083 entries). miRandola is available online at: http://atlas.dmi.unict.it/mirandola/index.html.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
India 2 <1%
Germany 1 <1%
South Africa 1 <1%
Brazil 1 <1%
Korea, Republic of 1 <1%
Belgium 1 <1%
Canada 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 201 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 67 31%
Student > Ph. D. Student 43 20%
Student > Master 23 11%
Student > Bachelor 12 6%
Other 12 6%
Other 37 17%
Unknown 20 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 38%
Biochemistry, Genetics and Molecular Biology 42 20%
Medicine and Dentistry 32 15%
Computer Science 7 3%
Engineering 6 3%
Other 16 7%
Unknown 30 14%
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 28 October 2012.
All research outputs
#7,361,216
of 22,684,168 outputs
Outputs from PLOS ONE
#87,487
of 193,651 outputs
Outputs of similar age
#57,320
of 176,091 outputs
Outputs of similar age from PLOS ONE
#1,763
of 4,783 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 193,651 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 54% 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 176,091 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 67% of its contemporaries.
We're also able to compare this research output to 4,783 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 62% of its contemporaries.