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GFVO: the Genomic Feature and Variation Ontology

Overview of attention for article published in PeerJ, May 2015
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
16 X users
peer_reviews
1 peer review site
facebook
1 Facebook page
googleplus
4 Google+ users

Citations

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4 Dimensions

Readers on

mendeley
25 Mendeley
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Title
GFVO: the Genomic Feature and Variation Ontology
Published in
PeerJ, May 2015
DOI 10.7717/peerj.933
Pubmed ID
Authors

Joachim Baran, Bibi Sehnaaz Begum Durgahee, Karen Eilbeck, Erick Antezana, Robert Hoehndorf, Michel Dumontier

Abstract

Falling costs in genomic laboratory experiments have led to a steady increase of genomic feature and variation data. Multiple genomic data formats exist for sharing these data, and whilst they are similar, they are addressing slightly different data viewpoints and are consequently not fully compatible with each other. The fragmentation of data format specifications makes it hard to integrate and interpret data for further analysis with information from multiple data providers. As a solution, a new ontology is presented here for annotating and representing genomic feature and variation dataset contents. The Genomic Feature and Variation Ontology (GFVO) specifically addresses genomic data as it is regularly shared using the GFF3 (incl. FASTA), GTF, GVF and VCF file formats. GFVO simplifies data integration and enables linking of genomic annotations across datasets through common semantics of genomic types and relations. Availability and implementation. The latest stable release of the ontology is available via its base URI; previous and development versions are available at the ontology's GitHub repository: https://github.com/BioInterchange/Ontologies; versions of the ontology are indexed through BioPortal (without external class-/property-equivalences due to BioPortal release 4.10 limitations); examples and reference documentation is provided on a separate web-page: http://www.biointerchange.org/ontologies.html. GFVO version 1.0.2 is licensed under the CC0 1.0 Universal license (https://creativecommons.org/publicdomain/zero/1.0) and therefore de facto within the public domain; the ontology can be appropriated without attribution for commercial and non-commercial use.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 4%
Brazil 1 4%
Canada 1 4%
Japan 1 4%
United States 1 4%
Unknown 20 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 24%
Student > Master 5 20%
Student > Bachelor 3 12%
Student > Ph. D. Student 3 12%
Professor > Associate Professor 3 12%
Other 3 12%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 36%
Computer Science 6 24%
Biochemistry, Genetics and Molecular Biology 2 8%
Medicine and Dentistry 2 8%
Linguistics 1 4%
Other 2 8%
Unknown 3 12%
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 13 May 2015.
All research outputs
#2,232,896
of 24,666,614 outputs
Outputs from PeerJ
#2,401
of 14,694 outputs
Outputs of similar age
#28,277
of 269,428 outputs
Outputs of similar age from PeerJ
#48
of 181 outputs
Altmetric has tracked 24,666,614 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 14,694 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one has done well, scoring higher than 83% 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 269,428 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 89% of its contemporaries.
We're also able to compare this research output to 181 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 74% of its contemporaries.