Literature DB >> 31569157

Length of Fellowship Training in Population Health Research and Long-term Bibliometric Outcomes.

Tiffany L Holland1, Keewan Kim1, Carrie J Nobles1, Ya-Ling Lu2, Indulaxmi Seeni1, Sunni L Mumford1, Stephen E Gilman3, Lindsay D Levine1, Victoria C Andriessen1, Enrique F Schisterman1.   

Abstract

BACKGROUND: The length of research fellowships, the number of doctorates pursuing them, and the academic job market have changed dramatically in recent years. However, there is limited investigation on attributes of fellowships most relevant to future scientific achievement. We analyzed the association of a modifiable aspect of research training, fellowship length, with future achievement and differences across research discipline in the Division of Intramural Population Health Research (DIPHR), Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health.
METHODS: Demographics of 88 DIPHR trainees from 1998 to 2016 were collected from publicly available annual reports. Research performance metrics, including total publication count and H index through 2016, were collected via Scopus. We used linear regression models for associations between fellowship length, including both total exposure to research training and duration of postdoctoral training alone, and research performance adjusted for start year, publications at entry, branch (e.g., Biostatistics and Bioinformatics, Epidemiology, and Health Behavior), and mentor seniority.
RESULTS: Each additional year of research training in DIPHR was associated with a 15% increase in H index (95% confidence interval [CI] = 3.0, 28.4) and 21% more lifetime publications (95% CI = 3.0, 41.9). Results were similar, although attenuated, when evaluating postdoctoral training alone. Differences by discipline were observed, with the strongest positive associations in the Biostatistics and Bioinformatics and Epidemiology Branches.
CONCLUSIONS: Longer training at DIPHR was associated with improved measures of research performance, though this relationship varied by discipline. Additional research is needed to tailor training programs to optimize success of trainees.

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Year:  2019        PMID: 31569157      PMCID: PMC8312074          DOI: 10.1097/EDE.0000000000001093

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  7 in total

1.  Characteristics of success in mentoring and research productivity - a case-control study of academic centers.

Authors:  Joshua G Cohen; Alexander E Sherman; Tuyen K Kiet; Daniel S Kapp; Kathryn Osann; Lee-may Chen; Patricia S O'Sullivan; John K Chan
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2.  The future of the postdoc.

Authors:  Kendall Powell
Journal:  Nature       Date:  2015-04-09       Impact factor: 49.962

3.  An index to quantify an individual's scientific research output.

Authors:  J E Hirsch
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-07       Impact factor: 11.205

4.  A generation at risk: young investigators and the future of the biomedical workforce.

Authors:  Ronald J Daniels
Journal:  Proc Natl Acad Sci U S A       Date:  2015-01-05       Impact factor: 11.205

5.  A critical assessment of the h-index.

Authors:  Natascha Gaster; Michael Gaster
Journal:  Bioessays       Date:  2012-07-18       Impact factor: 4.345

6.  SCIENTIFIC WORKFORCE. Why pursue the postdoc path?

Authors:  Henry Sauermann; Michael Roach
Journal:  Science       Date:  2016-05-06       Impact factor: 47.728

7.  Tracking Career Outcomes for Postdoctoral Scholars: A Call to Action.

Authors:  Elizabeth A Silva; Christine Des Jarlais; Bill Lindstaedt; Erik Rotman; Elizabeth S Watkins
Journal:  PLoS Biol       Date:  2016-05-06       Impact factor: 8.029

  7 in total

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