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iMir: An integrated pipeline for high-throughput analysis of small non-coding RNA data obtained by smallRNA-Seq

Overview of attention for article published in BMC Bioinformatics, December 2013
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Mentioned by

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4 X users
facebook
2 Facebook pages

Citations

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55 Dimensions

Readers on

mendeley
202 Mendeley
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4 CiteULike
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Title
iMir: An integrated pipeline for high-throughput analysis of small non-coding RNA data obtained by smallRNA-Seq
Published in
BMC Bioinformatics, December 2013
DOI 10.1186/1471-2105-14-362
Pubmed ID
Authors

Giorgio Giurato, Maria Rosaria De Filippo, Antonio Rinaldi, Adnan Hashim, Giovanni Nassa, Maria Ravo, Francesca Rizzo, Roberta Tarallo, Alessandro Weisz

Abstract

Qualitative and quantitative analysis of small non-coding RNAs by next generation sequencing (smallRNA-Seq) represents a novel technology increasingly used to investigate with high sensitivity and specificity RNA population comprising microRNAs and other regulatory small transcripts. Analysis of smallRNA-Seq data to gather biologically relevant information, i.e. detection and differential expression analysis of known and novel non-coding RNAs, target prediction, etc., requires implementation of multiple statistical and bioinformatics tools from different sources, each focusing on a specific step of the analysis pipeline. As a consequence, the analytical workflow is slowed down by the need for continuous interventions by the operator, a critical factor when large numbers of datasets need to be analyzed at once.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Germany 2 <1%
Italy 2 <1%
Brazil 2 <1%
United Kingdom 2 <1%
New Zealand 1 <1%
France 1 <1%
Spain 1 <1%
Belgium 1 <1%
Other 2 <1%
Unknown 185 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 63 31%
Student > Ph. D. Student 47 23%
Student > Master 27 13%
Student > Bachelor 14 7%
Student > Doctoral Student 12 6%
Other 30 15%
Unknown 9 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 88 44%
Biochemistry, Genetics and Molecular Biology 56 28%
Computer Science 15 7%
Engineering 7 3%
Medicine and Dentistry 7 3%
Other 14 7%
Unknown 15 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 February 2014.
All research outputs
#13,165,814
of 22,736,112 outputs
Outputs from BMC Bioinformatics
#4,003
of 7,266 outputs
Outputs of similar age
#163,187
of 307,365 outputs
Outputs of similar age from BMC Bioinformatics
#50
of 101 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,266 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 42nd percentile – i.e., 42% 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 307,365 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.