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ArthropodaCyc: a CycADS powered collection of BioCyc databases to analyse and compare metabolism of arthropods

Overview of attention for article published in Database: The Journal of Biological Databases & Curation, May 2016
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Title
ArthropodaCyc: a CycADS powered collection of BioCyc databases to analyse and compare metabolism of arthropods
Published in
Database: The Journal of Biological Databases & Curation, May 2016
DOI 10.1093/database/baw081
Pubmed ID
Authors

Patrice Baa-Puyoulet, Nicolas Parisot, Gérard Febvay, Jaime Huerta-Cepas, Augusto F. Vellozo, Toni Gabaldón, Federica Calevro, Hubert Charles, Stefano Colella

Abstract

Arthropods interact with humans at different levels with highly beneficial roles (e.g. as pollinators), as well as with a negative impact for example as vectors of human or animal diseases, or as agricultural pests. Several arthropod genomes are available at present and many others will be sequenced in the near future in the context of the i5K initiative, offering opportunities for reconstructing, modelling and comparing their metabolic networks. In-depth analysis of these genomic data through metabolism reconstruction is expected to contribute to a better understanding of the biology of arthropods, thereby allowing the development of new strategies to control harmful species. In this context, we present here ArthropodaCyc, a dedicated BioCyc collection of databases using the Cyc annotation database system (CycADS), allowing researchers to perform reliable metabolism comparisons of fully sequenced arthropods genomes. Since the annotation quality is a key factor when performing such global genome comparisons, all proteins from the genomes included in the ArthropodaCyc database were re-annotated using several annotation tools and orthology information. All functional/domain annotation results and their sources were integrated in the databases for user access. Currently, ArthropodaCyc offers a centralized repository of metabolic pathways, protein sequence domains, Gene Ontology annotations as well as evolutionary information for 28 arthropod species. Such database collection allows metabolism analysis both with integrated tools and through extraction of data in formats suitable for systems biology studies.Database URL: http://arthropodacyc.cycadsys.org/.

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

Geographical breakdown

Country Count As %
United States 1 3%
Czechia 1 3%
Germany 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 41%
Student > Master 6 18%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Student > Ph. D. Student 2 6%
Other 4 12%
Unknown 4 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 53%
Biochemistry, Genetics and Molecular Biology 3 9%
Computer Science 2 6%
Environmental Science 1 3%
Psychology 1 3%
Other 1 3%
Unknown 8 24%
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 03 June 2016.
All research outputs
#14,510,779
of 23,344,526 outputs
Outputs from Database: The Journal of Biological Databases & Curation
#571
of 995 outputs
Outputs of similar age
#191,354
of 340,323 outputs
Outputs of similar age from Database: The Journal of Biological Databases & Curation
#22
of 41 outputs
Altmetric has tracked 23,344,526 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 995 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 340,323 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.