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Comprehensive Reconstruction and Visualization of Non-Coding Regulatory Networks in Human

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, December 2014
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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10 X users
wikipedia
2 Wikipedia pages

Citations

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23 Dimensions

Readers on

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40 Mendeley
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Title
Comprehensive Reconstruction and Visualization of Non-Coding Regulatory Networks in Human
Published in
Frontiers in Bioengineering and Biotechnology, December 2014
DOI 10.3389/fbioe.2014.00069
Pubmed ID
Authors

Vincenzo Bonnici, Francesco Russo, Nicola Bombieri, Alfredo Pulvirenti, Rosalba Giugno

Abstract

Research attention has been powered to understand the functional roles of non-coding RNAs (ncRNAs). Many studies have demonstrated their deregulation in cancer and other human disorders. ncRNAs are also present in extracellular human body fluids such as serum and plasma, giving them a great potential as non-invasive biomarkers. However, non-coding RNAs have been relatively recently discovered and a comprehensive database including all of them is still missing. Reconstructing and visualizing the network of ncRNAs interactions are important steps to understand their regulatory mechanism in complex systems. This work presents ncRNA-DB, a NoSQL database that integrates ncRNAs data interactions from a large number of well established on-line repositories. The interactions involve RNA, DNA, proteins, and diseases. ncRNA-DB is available at http://ncrnadb.scienze.univr.it/ncrnadb/. It is equipped with three interfaces: web based, command-line, and a Cytoscape app called ncINetView. By accessing only one resource, users can search for ncRNAs and their interactions, build a network annotated with all known ncRNAs and associated diseases, and use all visual and mining features available in Cytoscape.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Spain 1 3%
Unknown 37 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 28%
Researcher 8 20%
Student > Master 6 15%
Student > Doctoral Student 3 8%
Other 3 8%
Other 8 20%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 33%
Computer Science 11 28%
Biochemistry, Genetics and Molecular Biology 7 18%
Medicine and Dentistry 3 8%
Social Sciences 1 3%
Other 3 8%
Unknown 2 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 26 July 2017.
All research outputs
#3,049,234
of 25,374,917 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#397
of 8,503 outputs
Outputs of similar age
#40,842
of 368,305 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#5
of 38 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 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,503 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 95% 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 368,305 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 88% of its contemporaries.
We're also able to compare this research output to 38 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.