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Mirna Expression Profiles Identify Drivers in Colorectal and Pancreatic Cancers

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
7 X users
facebook
2 Facebook pages

Citations

dimensions_citation
131 Dimensions

Readers on

mendeley
115 Mendeley
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Title
Mirna Expression Profiles Identify Drivers in Colorectal and Pancreatic Cancers
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0033663
Pubmed ID
Authors

Ada Piepoli, Francesca Tavano, Massimiliano Copetti, Tommaso Mazza, Orazio Palumbo, Anna Panza, Francesco Fabio di Mola, Valerio Pazienza, Gianluigi Mazzoccoli, Giuseppe Biscaglia, Annamaria Gentile, Nicola Mastrodonato, Massimo Carella, Fabio Pellegrini, Pierluigi di Sebastiano, Angelo Andriulli

Abstract

Altered expression of microRNAs (miRNAs) hallmarks many cancer types. The study of the associations of miRNA expression profile and cancer phenotype could help identify the links between deregulation of miRNA expression and oncogenic pathways.

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

Geographical breakdown

Country Count As %
Italy 3 3%
Belgium 2 2%
Portugal 1 <1%
Mexico 1 <1%
Brazil 1 <1%
United States 1 <1%
Luxembourg 1 <1%
Unknown 105 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 32%
Student > Ph. D. Student 26 23%
Student > Master 10 9%
Student > Doctoral Student 6 5%
Professor > Associate Professor 5 4%
Other 14 12%
Unknown 17 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 32%
Biochemistry, Genetics and Molecular Biology 24 21%
Medicine and Dentistry 22 19%
Engineering 4 3%
Computer Science 3 3%
Other 6 5%
Unknown 19 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 11 July 2017.
All research outputs
#2,246,549
of 22,664,267 outputs
Outputs from PLOS ONE
#28,714
of 193,506 outputs
Outputs of similar age
#14,147
of 160,569 outputs
Outputs of similar age from PLOS ONE
#491
of 3,721 outputs
Altmetric has tracked 22,664,267 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,506 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 done well, scoring higher than 85% 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 160,569 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 3,721 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.