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The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation

Overview of attention for article published in Journal of Biomedical Semantics, September 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 368)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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19 X users
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1 Facebook page

Citations

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187 Dimensions

Readers on

mendeley
159 Mendeley
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2 CiteULike
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Title
The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation
Published in
Journal of Biomedical Semantics, September 2016
DOI 10.1186/s13326-016-0097-6
Pubmed ID
Authors

Pier Luigi Buttigieg, Evangelos Pafilis, Suzanna E. Lewis, Mark P. Schildhauer, Ramona L. Walls, Christopher J. Mungall

Abstract

The Environment Ontology (ENVO; http://www.environmentontology.org/ ), first described in 2013, is a resource and research target for the semantically controlled description of environmental entities. The ontology's initial aim was the representation of the biomes, environmental features, and environmental materials pertinent to genomic and microbiome-related investigations. However, the need for environmental semantics is common to a multitude of fields, and ENVO's use has steadily grown since its initial description. We have thus expanded, enhanced, and generalised the ontology to support its increasingly diverse applications. We have updated our development suite to promote expressivity, consistency, and speed: we now develop ENVO in the Web Ontology Language (OWL) and employ templating methods to accelerate class creation. We have also taken steps to better align ENVO with the Open Biological and Biomedical Ontologies (OBO) Foundry principles and interoperate with existing OBO ontologies. Further, we applied text-mining approaches to extract habitat information from the Encyclopedia of Life and automatically create experimental habitat classes within ENVO. Relative to its state in 2013, ENVO's content, scope, and implementation have been enhanced and much of its existing content revised for improved semantic representation. ENVO now offers representations of habitats, environmental processes, anthropogenic environments, and entities relevant to environmental health initiatives and the global Sustainable Development Agenda for 2030. Several branches of ENVO have been used to incubate and seed new ontologies in previously unrepresented domains such as food and agronomy. The current release version of the ontology, in OWL format, is available at http://purl.obolibrary.org/obo/envo.owl . ENVO has been shaped into an ontology which bridges multiple domains including biomedicine, natural and anthropogenic ecology, 'omics, and socioeconomic development. Through continued interactions with our users and partners, particularly those performing data archiving and sythesis, we anticipate that ENVO's growth will accelerate in 2017. As always, we invite further contributions and collaboration to advance the semantic representation of the environment, ranging from geographic features and environmental materials, across habitats and ecosystems, to everyday objects in household settings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
United States 2 1%
Italy 1 <1%
Japan 1 <1%
Denmark 1 <1%
Unknown 152 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 26%
Student > Ph. D. Student 26 16%
Student > Master 18 11%
Student > Bachelor 13 8%
Other 11 7%
Other 25 16%
Unknown 25 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 29%
Computer Science 30 19%
Environmental Science 14 9%
Biochemistry, Genetics and Molecular Biology 9 6%
Earth and Planetary Sciences 8 5%
Other 22 14%
Unknown 30 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 12 October 2020.
All research outputs
#2,361,768
of 26,017,215 outputs
Outputs from Journal of Biomedical Semantics
#26
of 368 outputs
Outputs of similar age
#39,312
of 334,263 outputs
Outputs of similar age from Journal of Biomedical Semantics
#2
of 12 outputs
Altmetric has tracked 26,017,215 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 368 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 92% 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 334,263 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 87% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.