Mapping evolutionary trajectories: Applications to the growth and transformation of medical knowledge

Mina, Andrea; Ramlogan, Ronnie; Tampubolon, Gindo; Metcalfe, John

doi:10.1016/j.respol.2006.12.007

Cited by 196 publications

(136 citation statements)

References 38 publications

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“…We note that CitNetExplorer may also be used to study other types of citation networks, in particular citation networks of patents. For examples of analyses of patent citation networks for which a tool such as CitNetExplorer could be useful, we refer to Barberá-Tomás, Jiménez-Sáez, and Castelló-Molina (2011), Mina, Ramlogan, Tampubolon, and Metcalfe (2007), and Verspagen (2007).…”

Section: Introductionmentioning

confidence: 99%

CitNetExplorer: A new software tool for analyzing and visualizing citation networks

Eck¹,

Waltman²

2014

Journal of Informetrics

524

303

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We present CitNetExplorer, a new software tool for analyzing and visualizing citation networks of scientific publications. CitNetExplorer can for instance be used to study the development of a research field, to delineate the literature on a research topic, and to support literature reviewing. We first introduce the main concepts that need to be understood when working with CitNetExplorer. We then demonstrate CitNetExplorer by using the tool to analyze the scientometric literature and the literature on community detection in networks. Finally, we discuss some technical details on the construction, visualization, and analysis of citation networks in CitNetExplorer.

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Section: Introductionmentioning

confidence: 99%

CitNetExplorer: A new software tool for analyzing and visualizing citation networks

Eck¹,

Waltman²

2014

Journal of Informetrics

524

303

View full text Add to dashboard Cite

show abstract

“…Puesto que nuestra posición es de establecer analogías con los fenómenos tecnológicos "llamativamente similares a fenómenos biológicos bien conocidos" (Ziman, 2000:4), hemos puesto especial cuidado en distinguir además los fenómenos que diferencian claramente estos dos reinos. Algunos trabajos recientes sobre trayectorias tecnológicas (Verspagen, 2007;Mina et al, 2007, Martinelli, 2008) han elaborado una teoría de la convergencia tecnológica que puede ayudarnos en nuestra intención de incluir el fenómeno de la hibridación en la TCVP. La característica común de todos estos trabajos es que emplean una metodología de análisis citas de patentes -el análisis de conectividad-que parece especialmente adecuada para observar la acción del operador hibridación.…”

Section: El Modelo Sólo Toma Consideración Tecnologías Contemporáneasunclassified

“…Algunos trabajos recientes sobre trayectorias tecnológicas (Verspagen, 2007;Mina et al, 2007, Martinelli, 2008) han elaborado una teoría de la convergencia tecnológica que puede ayudarnos en nuestra intención de incluir el fenómeno de la hibridación en la TCVP (ver apartado 3.2.5). La característica común de todos estos trabajos es que emplean una metodología de análisis citas de patentes -el análisis de conectividad-que parece especialmente adecuada para observar la acción del operador hibridación.…”

Section: El Análisis De Conectividad Y La Teoría Del Ciclo De Vida Deunclassified

“…Así, Mina et al (2007) seleccionan la enfermedad coronaria como la unidad de análisis en su estudio de las trayectorias del conocimiento médico relacionado con esta enfermedad en la segunda mitad del s. XX. Consecuentemente, en lo que concierne a los aspectos tecnológicos de estas trayectorias, estos autores se ocupan de la secuencia de distintos productos que se han ofrecido como soluciones en el tratamiento de la enfermedad (como los catéteres o los stents).…”

Section: La Enfermedad Y La Jerarquíaunclassified

“…Hemos optado por llegar hasta el nivel 1 de conectividad para así investigar los antecesores de nuestro implante y la procedencia de sus bloques constitutivos (Mina et al, 2007). Hemos incluido en estas patentes citadas las patentes europeas, nacionales y de la WIPO (World Intellectual Property Office).…”

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La evolución tecnológica del disco artificial según la Teoría del ciclo de vida del producto

Tomás¹,

David²

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Age of Data at the Time of Publication of Contemporary Clinical Trials

Welsh

Dhruva

et al. 2018

JAMA Netw Open

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Importance As medical knowledge and clinical practice rapidly evolve over time, there is an imperative to publish results of clinical trials in a timely way and reduce unnecessary delays. Objectives To characterize the age of clinical trial data at the time of publication in journals with a high impact factor and highlight the time from final data collection to publication. Design and Setting A cross-sectional analysis was conducted of all randomized clinical trials published from January 1 through December 31, 2015, in the Annals of Internal Medicine, BMJ, JAMA, JAMA Internal Medicine, Lancet, and New England Journal of Medicine . Multivariable linear regression analyses were conducted to assess whether data age (adjusted for follow-up duration) and publication time were associated with trial characteristics. Main Outcomes and Measures The outcome measures were the midpoint of data collection until publication (data age), the time from first participant enrollment to last participant enrollment (enrollment time), and the time from final data collection to publication (publication time). Results There were 341 clinical trials published in 2015 by the 6 journals. For assessment of the primary end point, 37 trials (10.9%) had a follow-up period of less than 1 month, 172 trials (50.4%) had a follow-up period of 1 month to 1 year, and 132 trials (38.7%) had a follow-up period of more than 1 year. For all trials, the median data age at publication was 33.9 months (interquartile range, 23.5-46.3 months). Among trials with a follow-up period of 1 month or less, the median data age was 30.6 months (interquartile range, 18.6-39.0 months). A total of 68 trials (19.9%) required more than 4 years to complete enrollment. The median time from the completion of data collection to publication was 14.8 months (interquartile range, 7.4-22.2 months); publication time was 2 or more years in 63 trials (18.5%). In multivariable regression analyses adjusted for follow-up time, inconclusive or unfavorable trial results were significantly associated with older data age (>235 days). Compared with trials funded only by private industry, trials funded by government were associated with a significantly longer time to publication (>180 days). Conclusions and Relevance Clinical trials in journals with a high impact factor were published with a median data age of nearly 3 years. For a substantial proportion of studies, time for enrollment and time from completion of data collection to publication were quite long, indicating marked opportunities for improvement in clinical trials to reduce data age.

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Mapping evolutionary trajectories: Applications to the growth and transformation of medical knowledge

Cited by 196 publications

References 38 publications

CitNetExplorer: A new software tool for analyzing and visualizing citation networks

CitNetExplorer: A new software tool for analyzing and visualizing citation networks

La evolución tecnológica del disco artificial según la Teoría del ciclo de vida del producto

Age of Data at the Time of Publication of Contemporary Clinical Trials

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