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The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology

Overview of attention for article published in Journal of Biomedical Semantics, May 2016
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

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4 X users
wikipedia
1 Wikipedia page
reddit
1 Redditor

Citations

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10 Dimensions

Readers on

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42 Mendeley
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Title
The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology
Published in
Journal of Biomedical Semantics, May 2016
DOI 10.1186/s13326-016-0066-0
Pubmed ID
Authors

Jingshan Huang, Karen Eilbeck, Barry Smith, Judith A. Blake, Dejing Dou, Weili Huang, Darren A. Natale, Alan Ruttenberg, Jun Huan, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison J. Strachan, Yongqun He, Shaojie Zhang, Xiaowei Wang, Zixing Liu, Glen M. Borchert, Ming Tan

Abstract

In recent years, sequencing technologies have enabled the identification of a wide range of non-coding RNAs (ncRNAs). Unfortunately, annotation and integration of ncRNA data has lagged behind their identification. Given the large quantity of information being obtained in this area, there emerges an urgent need to integrate what is being discovered by a broad range of relevant communities. To this end, the Non-Coding RNA Ontology (NCRO) is being developed to provide a systematically structured and precisely defined controlled vocabulary for the domain of ncRNAs, thereby facilitating the discovery, curation, analysis, exchange, and reasoning of data about structures of ncRNAs, their molecular and cellular functions, and their impacts upon phenotypes. The goal of NCRO is to serve as a common resource for annotations of diverse research in a way that will significantly enhance integrative and comparative analysis of the myriad resources currently housed in disparate sources. It is our belief that the NCRO ontology can perform an important role in the comprehensive unification of ncRNA biology and, indeed, fill a critical gap in both the Open Biological and Biomedical Ontologies (OBO) Library and the National Center for Biomedical Ontology (NCBO) BioPortal. Our initial focus is on the ontological representation of small regulatory ncRNAs, which we see as the first step in providing a resource for the annotation of data about all forms of ncRNAs. The NCRO ontology is free and open to all users, accessible at: http://purl.obolibrary.org/obo/ncro.owl.

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

Geographical breakdown

Country Count As %
Spain 1 2%
Belgium 1 2%
Unknown 40 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 14%
Professor 5 12%
Professor > Associate Professor 5 12%
Student > Bachelor 4 10%
Other 4 10%
Other 9 21%
Unknown 9 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 19%
Computer Science 8 19%
Biochemistry, Genetics and Molecular Biology 6 14%
Immunology and Microbiology 3 7%
Engineering 2 5%
Other 4 10%
Unknown 11 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 February 2020.
All research outputs
#5,810,655
of 23,344,526 outputs
Outputs from Journal of Biomedical Semantics
#92
of 367 outputs
Outputs of similar age
#80,965
of 300,158 outputs
Outputs of similar age from Journal of Biomedical Semantics
#7
of 23 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 367 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 75% 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 300,158 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 72% of its contemporaries.
We're also able to compare this research output to 23 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 73% of its contemporaries.