Evolución y repercusión científica de las becas de investigación de la Sociedad Española de Cardiología y la Fundación Española del Corazón (2000-2006)

Benavent, Rafael Aleixandre; Alonso-Arroyo, Adolfo; Sánchez, Manuel Anguita; Bolaños-Pizarro, Máxima; Heras, Magda; Alcalde, Gregorio González; Miguel, Carlos Macaya; Navarro-Molina, Carolina; Castelló‐Cogollos, Lourdes; Valderrama‐Zurián, Juan Carlos; Gascó, Francisco de Paula Blasco; Martínez, Vicente Bertoméu; Taboada, M.; Celemín, Leandro Plaza; Pérez-Villacastín, Julián; Cequier, Ángel; Román, Alfonso Varela; Zaldumbide, E. Laraudogoitia; Cabedo, S. Morell

doi:10.1016/j.recesp.2011.03.024

Cited by 8 publications

(1 citation statement)

References 32 publications

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“…In the medical sciences, the US National Institutes of Health (Boyack and Jordan 2011; Druss and Marcus 2005; Lyubarova et al 2009), the UK Multiple Sclerosis Society (Rangnekar 2005), the Health Research Council of New Zealand (Gunn et al 1999), and the Spanish Society of Cardiology and Spanish Heart Foundation (Benavent et al 2011) have all sponsored bibliometric evaluations of their funding programs. Other bibliometric analyses have been performed on grant funding agencies in the chemical sciences (Jain et al 1998), biological sciences (Jokic 2000; Porter et al 2012), forest sciences (Klenk et al 2010), and science policy (Zoss and Borner 2012).…”

Section: Introductionmentioning

confidence: 99%

A bibliometric analysis of NOAA’s Office of Ocean Exploration and Research

Belter

2012

Scientometrics

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Bibliometric analysis techniques are increasingly being used to analyze and evaluate scientific research produced by institutions and grant funding agencies. This article uses bibliometric methods to analyze journal articles funded by NOAA’s Office of Ocean Exploration and Research (OER), an extramural grant-funding agency focused on the scientific exploration of the world’s oceans. OER-supported articles in this analysis were identified through grant reports, personal communication, and acknowledgement of OER support or grant numbers. The articles identified were analyzed to determine the number of publications and citations received per year, subject, and institution. The productivity and citation impact of institutions in the US receiving OER grant funding were mapped geographically. Word co-occurrence and bibliographic coupling networks were created and visualized to identify the research topics of OER-supported articles. Finally, article citation counts were evaluated by means of percentile ranks. This article demonstrates that bibliometric analysis can be useful for summarizing and evaluating the research performance of a grant funding agency.

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