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3072 Scientometric Analysis of the Puerto Rico Clinical and Translational Research Consortium (PRCTRC) Research Publications, 2010-2017

Published online by Cambridge University Press:  26 March 2019

Mariela Torres- Cintrón
Affiliation:
University of Puerto Rico-Medical Sciences Campus
Carlamarie Noboa
Affiliation:
University of Puerto Rico-Medical Sciences Campus
Mariela Lugo-Pico
Affiliation:
Puerto Rico Clinical and Translational Research Consortium
Lorena Gonzalez-Sepulveda
Affiliation:
Puerto Rico Clinical and Translational Research Consortium
Naydi Perez
Affiliation:
University of Puerto Rico-Medical Sciences Campus
Zulmarie De Pedro- Serbia
Affiliation:
Puerto Rico Clinical and Translational Research Consortium
Margarita Irizarry-Ramírez
Affiliation:
University of Puerto Rico-Medical Sciences Campus
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Abstract

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OBJECTIVES/SPECIFIC AIMS: The objective of this study was to evaluate the impact of the research and the scientific collaborations as shown in research publication supported by the PRCTRC. METHODS/STUDY POPULATION: Manuscripts published from 2010 to 2017 were retrieved from the Science Citation Index database. Our search criteria included manuscripts: 1) with the PRCTRC grant number and 2) with a PMCID number. Scientometric indicators including h-index (HI), average citation (AC), collaboration coefficient (CC), collaboration index (CI) and degree of collaboration (DC) were calculated using the Web of Science Platform and Stata software for statistical inquiry. Joinpoint was used to calculate the annual percent change (APC). RESULTS/ANTICIPATED RESULTS: A total of 316 publications were identified from 2010-2017, with an average of 39.5 publications per year, and a total of 2,383 citing articles without self-citations. During this period a significant growth (APC = ¬15.3%, p < 0.05) of scientific production was observed. The overall HI was 28, and the AC per item was 9.31. Regarding collaboration, the overall CC was 0.82, the CI was 6.93, and the DC was 99.3. DISCUSSION/SIGNIFICANCE OF IMPACT: This study demonstrated that the PRCTRC scientific production increased statistically significantly. Application of the scientometric indicators allows the PRCTRC assess the research productivity and collaboration to design and implement interventions according to program experience and needs.

Type
Team Science
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-ncnd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Association for Clinical and Translational Science 2019