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DES-ncRNA: A knowledgebase for exploring information about human micro and long noncoding RNAs based on literature-mining

Overview of attention for article published in RNA Biology, May 2017
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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 (#50 of 853)
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
3 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
50 Mendeley
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Title
DES-ncRNA: A knowledgebase for exploring information about human micro and long noncoding RNAs based on literature-mining
Published in
RNA Biology, May 2017
DOI 10.1080/15476286.2017.1312243
Pubmed ID
Authors

Adil Salhi, Magbubah Essack, Tanvir Alam, Vladan P. Bajic, Lina Ma, Aleksandar Radovanovic, Benoit Marchand, Sebastian Schmeier, Zhang, Vladimir B. Bajic

Abstract

Noncoding RNAs (ncRNAs), particularly microRNAs (miRNAs) and long ncRNAs (lncRNAs), are important players in diseases and emerge as novel drug targets. Thus, unraveling the relationships between ncRNAs and other biomedical entities in cells are critical for better understanding ncRNA roles that may eventually help develop their use in medicine. To support ncRNA research and facilitate retrieval of relevant information regarding miRNAs and lncRNAs from the plethora of published ncRNA-related research, we developed DES-ncRNA ( www.cbrc.kaust.edu.sa/des_ncrna ). DES-ncRNA is a knowledgebase containing text- and data-mined information from public scientific literature and other public resources. Exploration of mined information is enabled through terms and pairs of terms from 19 topic-specific dictionaries including, for example, antibiotics, toxins, drugs, enzymes, mutations, pathways, human genes and proteins, drug indications and side effects, mutations, diseases, etc. DES-ncRNA contains approximately 878,000 associations of terms from these dictionaries of which 36,222 (5,373) are with regards to miRNAs (lncRNAs). We provide several ways to explore information regarding ncRNAs to users including controlled generation of association networks as well as hypotheses generation. We show an example how DES-ncRNA can aid research on Alzheimer's disease and suggest potential therapeutic role for Fasudil. DES-ncRNA is a powerful tool that can be used on its own or as a complement to the existing resources, to support research in human ncRNA. To our knowledge, this is the only knowledgebase dedicated to human miRNAs and lncRNAs derived primarily through literature-mining enabling exploration of a broad spectrum of associated biomedical entities, not paralleled by any other resource.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 2%
Austria 1 2%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 32%
Student > Ph. D. Student 9 18%
Researcher 9 18%
Student > Doctoral Student 3 6%
Student > Master 3 6%
Other 6 12%
Unknown 4 8%
Readers by discipline Count As %
Neuroscience 14 28%
Biochemistry, Genetics and Molecular Biology 12 24%
Agricultural and Biological Sciences 8 16%
Medicine and Dentistry 4 8%
Computer Science 4 8%
Other 4 8%
Unknown 4 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 10 April 2017.
All research outputs
#1,249,638
of 9,665,907 outputs
Outputs from RNA Biology
#50
of 853 outputs
Outputs of similar age
#50,826
of 262,892 outputs
Outputs of similar age from RNA Biology
#1
of 27 outputs
Altmetric has tracked 9,665,907 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 853 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 94% 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 262,892 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 80% of its contemporaries.
We're also able to compare this research output to 27 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 96% of its contemporaries.