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Bridging the phenotypic and genetic data useful for integrated breeding through a data annotation using the Crop Ontology developed by the crop communities of practice

Overview of attention for article published in Frontiers in Physiology, January 2012
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  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Title
Bridging the phenotypic and genetic data useful for integrated breeding through a data annotation using the Crop Ontology developed by the crop communities of practice
Published in
Frontiers in Physiology, January 2012
DOI 10.3389/fphys.2012.00326
Pubmed ID
Authors

Rosemary Shrestha, Luca Matteis, Milko Skofic, Arllet Portugal, Graham McLaren, Glenn Hyman, Elizabeth Arnaud

Abstract

The Crop Ontology (CO) of the Generation Challenge Program (GCP) (http://cropontology.org/) is developed for the Integrated Breeding Platform (IBP) (http://www.integratedbreeding.net/) by several centers of The Consultative Group on International Agricultural Research (CGIAR): bioversity, CIMMYT, CIP, ICRISAT, IITA, and IRRI. Integrated breeding necessitates that breeders access genotypic and phenotypic data related to a given trait. The CO provides validated trait names used by the crop communities of practice (CoP) for harmonizing the annotation of phenotypic and genotypic data and thus supporting data accessibility and discovery through web queries. The trait information is completed by the description of the measurement methods and scales, and images. The trait dictionaries used to produce the Integrated Breeding (IB) fieldbooks are synchronized with the CO terms for an automatic annotation of the phenotypic data measured in the field. The IB fieldbook provides breeders with direct access to the CO to get additional descriptive information on the traits. Ontologies and trait dictionaries are online for cassava, chickpea, common bean, groundnut, maize, Musa, potato, rice, sorghum, and wheat. Online curation and annotation tools facilitate (http://cropontology.org) direct maintenance of the trait information and production of trait dictionaries by the crop communities. An important feature is the cross referencing of CO terms with the Crop database trait ID and with their synonyms in Plant Ontology (PO) and Trait Ontology (TO). Web links between cross referenced terms in CO provide online access to data annotated with similar ontological terms, particularly the genetic data in Gramene (University of Cornell) or the evaluation and climatic data in the Global Repository of evaluation trials of the Climate Change, Agriculture and Food Security programme (CCAFS). Cross-referencing and annotation will be further applied in the IBP.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 3 2%
Argentina 2 2%
Canada 2 2%
Norway 1 <1%
United Kingdom 1 <1%
Netherlands 1 <1%
Germany 1 <1%
Belgium 1 <1%
United States 1 <1%
Other 0 0%
Unknown 111 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 25%
Student > Ph. D. Student 24 19%
Student > Doctoral Student 10 8%
Other 10 8%
Student > Master 8 6%
Other 16 13%
Unknown 25 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 43%
Computer Science 16 13%
Social Sciences 6 5%
Biochemistry, Genetics and Molecular Biology 5 4%
Engineering 5 4%
Other 16 13%
Unknown 23 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 September 2012.
All research outputs
#13,870,800
of 22,675,759 outputs
Outputs from Frontiers in Physiology
#4,865
of 13,467 outputs
Outputs of similar age
#151,722
of 244,088 outputs
Outputs of similar age from Frontiers in Physiology
#121
of 309 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,467 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 61% 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 244,088 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 309 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 59% of its contemporaries.