Impacto de Corto Plazo de Chilean Journal of Agricultural Research: Un Análisis Bibliométrico

Indexación: Web of Science; ScieloIn January 2007, the Chilean Journal of Agricultural Research was indexed by the Institute of Scientific Information (ISI). This paper reviews the research that has been published since 2007 by using records extracted from the Web of Science database. The papers published were mostly affiliated to researchers from Chile, and six out of the ten most-contributing countries were from Latin America. The analysis by institutions showed Universidad de Concepcion as the most prolific, although this result is not valid. A lack of standardization in the manner the Instituto de Investigaciones Agropecuarias (INIA) subscribed its address on each paper caused a disaggregation of the information. This was proven by the manual curation of each record that was affiliated to any of the centers belonging to INIA. The journal has a self-citation rate of 19.3%, value that is relatively high if compared to other journals from the same subject category listed on The Journal Citation Reports 2010. Finally, this work should be considered a bibliometric snapshot of the current situation of the journal that will serve as a benchmark when new evaluations are made in a few-years time.En enero 2007, la revista Chilean Journal of Agricultural Research fue indexada por el Institute of Scientific Information (ISI), por lo que este artículo analiza la investigación que ha sido publicada desde el ano 2007 utilizando los registros extraídos de la base de datos Web of Science. Los artículos publicados fueron mayormente afiliados a investigadores de Chile, siendo seis de los 10 países que más contribuyeron en artículos de Latinoamérica. Un análisis por institución mostró a la Universidad de Concepción como la más prolífica, aunque este resultado no es válido por una ausencia de estandarización en la manera que el Instituto de Investigaciones Agropecuarias (INIA) suscribe su dirección en cada artículo, lo que provoca disgregación de la información. Esto se verificó mediante la curación manual de cada registro que se encontraba afiliado a cualquiera de los centros que pertenecen a INIA. Esta revista tiene un grado de auto-citas de 19.3%, valor relativamente alto si se compara con revistas de la misma categoría de tópico que se encuentran listadas en Journal Citation Report 2010. Finalmente, este trabajo debe ser considerado como una visión bibliométrica de la situación actual de la revista que servirá como línea base para nuevas evaluaciones a realizarse en pocos anos más.http://ref.scielo.org/ff8v7

Open Science principles for accelerating trait-based science across the Tree of Life.

Synthesizing trait observations and knowledge across the Tree of Life remains a grand challenge for biodiversity science. Species traits are widely used in ecological and evolutionary science, and new data and methods have proliferated rapidly. Yet accessing and integrating disparate data sources remains a considerable challenge, slowing progress toward a global synthesis to integrate trait data across organisms. Trait science needs a vision for achieving global integration across all organisms. Here, we outline how the adoption of key Open Science principles-open data, open source and open methods-is transforming trait science, increasing transparency, democratizing access and accelerating global synthesis. To enhance widespread adoption of these principles, we introduce the Open Traits Network (OTN), a global, decentralized community welcoming all researchers and institutions pursuing the collaborative goal of standardizing and integrating trait data across organisms. We demonstrate how adherence to Open Science principles is key to the OTN community and outline five activities that can accelerate the synthesis of trait data across the Tree of Life, thereby facilitating rapid advances to address scientific inquiries and environmental issues. Lessons learned along the path to a global synthesis of trait data will provide a framework for addressing similarly complex data science and informatics challenges

Ecoenzymes as Indicators of Compost to Suppress Rhizoctonia solani

Reports of disease suppression by compost are inconsistent likely because there are no established standards for feedstock material, maturity age for application, and application rate. The overall goal of the study was to evaluate a suite of biological indicators for their ability to predict disease suppression. Indicators included both commercial available methods for compost stability (Solvita™, respiration) and metrics of soil ecology not yet adopted by the compost industry (e.g., ecoenzymes, nematode community index). Damping-off by Rhizoctonia solani on radish was chosen as a model system given its global importance, competitiveness affected by carbon quality, and lack of disease management options for organic production. Biological indicators were evaluated for their ability to consistently differentiate among curing process, maturity, and feedstock material as a function of disease severity of a seedling bioassay and a compost extract assay to test competition with R. solani growth. Compost processed as vermicompost and anaerobic digestate were more suppressive against R. solani than windrow or aerated static pile. Mature composts were more suppressive than immature components. Feedstocks containing dairy manure and/or hardwood bark tended to have suppressive qualities. In contrast, poultry manure-based components were conducive to disease. Microbial ecoenzymes active on chitin and cellulose and nematode community indices were better predictors of disease suppressiveness than microbial respiration. These indicators are quicker than plant bioassays and could be adopted as tools to certify commercial products

Utilising content marketing metrics and social networks for academic visibility

There are numerous assumptions on research evaluation in terms of quality and relevance of academic contributions. Researchers are becoming increasingly acquainted with bibliometric indicators, including; citation analysis, impact factor, h-index, webometrics and academic social networking sites. In this light, this chapter presents a review of these concepts as it considers relevant theoretical underpinnings that are related to the content marketing of scholars. Therefore, this contribution critically evaluates previous papers that revolve on the subject of academic reputation as it deliberates on the individual researchers’ personal branding. It also explains how metrics are currently being used to rank the academic standing of journals as well as higher educational institutions. In a nutshell, this chapter implies that the scholarly impact depends on a number of factors including accessibility of publications, peer review of academic work as well as social networking among scholars.peer-reviewe