Literature DB >> 30917690

Scope, Influence, and Interdisciplinary Collaboration: The Publication Portfolio of the NIH Clinical and Translational Science Awards (CTSA) Program From 2006 Through 2017.

Nicole Llewellyn1, Dorothy R Carter2, Deborah DiazGranados3,4, Clara Pelfrey5, Latrice Rollins6, Eric J Nehl7.   

Abstract

The Clinical and Translational Science Awards (CTSA) program sponsors an array of innovative, collaborative research. This study uses complementary bibliometric approaches to assess the scope, influence, and interdisciplinary collaboration of publications supported by single CTSA hubs and those supported by multiple hubs. Authors identified articles acknowledging CTSA support and assessed the disciplinary scope of research areas represented in that publication portfolio, their citation influence, interdisciplinary overlap among research categories, and characteristics of publications supported by multihub collaborations. Since 2006, CTSA hubs supported 69,436 articles published in 4,927 journals and 189 research areas. The portfolio is well distributed across diverse research areas with above-average citation influence. Most supported publications involved clinical/health sciences, for example, neurology and pediatrics; life sciences, for example, neuroscience and immunology; or a combination of the two. Publications supported by multihub collaborations had distinct content emphasis, stronger citation influence, and greater interdisciplinary overlap. This study characterizes the CTSA consortium's contributions to clinical and translational science, identifies content areas of strength, and provides evidence for the success of multihub collaborations. These methods lay the foundation for future investigation of the best policies and priorities for fostering translational science and allow hubs to understand their progress benchmarked against the larger consortium.

Entities:  

Keywords:  CTSA; bibliometrics; publications; research areas; translation

Mesh:

Year:  2019        PMID: 30917690      PMCID: PMC7781230          DOI: 10.1177/0163278719839435

Source DB:  PubMed          Journal:  Eval Health Prof        ISSN: 0163-2787            Impact factor:   2.651


  21 in total

1.  Social network analysis of biomedical research collaboration networks in a CTSA institution.

Authors:  Jiang Bian; Mengjun Xie; Umit Topaloglu; Teresa Hudson; Hari Eswaran; William Hogan
Journal:  J Biomed Inform       Date:  2014-02-18       Impact factor: 6.317

2.  Scientific collaboration and team science: a social network analysis of the centers for population health and health disparities.

Authors:  Janet Okamoto
Journal:  Transl Behav Med       Date:  2015-03       Impact factor: 3.046

3.  Identifying emerging research collaborations and networks: method development.

Authors:  Ann M Dozier; Camille A Martina; Nicole L O'Dell; Thomas T Fogg; Stephen J Lurie; Eric P Rubinstein; Thomas A Pearson
Journal:  Eval Health Prof       Date:  2013-09-08       Impact factor: 2.651

4.  Reengineering the national clinical and translational research enterprise: the strategic plan of the National Clinical and Translational Science Awards Consortium.

Authors:  Steven E Reis; Lars Berglund; Gordon R Bernard; Robert M Califf; Garret A Fitzgerald; Peter C Johnson
Journal:  Acad Med       Date:  2010-03       Impact factor: 6.893

5.  Linking scientific discovery and better health for the nation: the first three years of the NIH's Clinical and Translational Science Awards.

Authors:  Robert M Califf; Lars Berglund
Journal:  Acad Med       Date:  2010-03       Impact factor: 6.893

6.  Common metrics to assess the efficiency of clinical research.

Authors:  Doris McGartland Rubio
Journal:  Eval Health Prof       Date:  2013-08-19       Impact factor: 2.651

7.  Assessing and evaluating multidisciplinary translational teams: a mixed methods approach.

Authors:  Kevin C Wooten; Robert M Rose; Glenn V Ostir; William J Calhoun; Bill T Ameredes; Allan R Brasier
Journal:  Eval Health Prof       Date:  2013-09-23       Impact factor: 2.651

8.  Using publication data to evaluate a Clinical and Translational Science Award (CTSA) career development program: Early outcomes from KL2 scholars.

Authors:  Noelia Sayavedra; Janice A Hogle; D Paul Moberg
Journal:  J Clin Transl Sci       Date:  2017-12

9.  Feasibility of common bibliometrics in evaluating translational science.

Authors:  M Schneider; C M Kane; J Rainwater; L Guerrero; G Tong; S R Desai; W Trochim
Journal:  J Clin Transl Sci       Date:  2017-01-31

10.  A snapshot of translational research funded by the National Institutes of Health (NIH): A case study using behavioral and social science research awards and Clinical and Translational Science Awards funded publications.

Authors:  Xueying Han; Sharon R Williams; Brian L Zuckerman
Journal:  PLoS One       Date:  2018-05-09       Impact factor: 3.240

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  6 in total

1.  A Bibliometric Measure of Translational Science.

Authors:  Yeon Hak Kim; Aaron D Levine; Eric J Nehl; John P Walsh
Journal:  Scientometrics       Date:  2020-08-17       Impact factor: 3.238

Review 2.  Methods for identifying biomedical translation: a systematic review.

Authors:  Javier Padilla-Cabello; Antonio Santisteban-Espejo; Ruben Heradio; Manuel J Cobo; Miguel A Martin-Piedra; Jose A Moral-Munoz
Journal:  Am J Transl Res       Date:  2022-04-15       Impact factor: 3.940

3.  Using bibliometrics to evaluate translational science training: evidence for early career success of KL2 scholars.

Authors:  Kelli Qua; Clara M Pelfrey
Journal:  J Clin Transl Sci       Date:  2020-07-24

4.  Using the payback framework to evaluate the outcomes of pilot projects supported by the Georgia Clinical and Translational Science Alliance.

Authors:  Latrice Rollins; Nicole Llewellyn; Manzi Ngaiza; Eric Nehl; Dorothy R Carter; Jeff M Sands
Journal:  J Clin Transl Sci       Date:  2020-09-11

5.  Facilitating cancer systems epidemiology research.

Authors:  Rolando Barajas; Brionna Hair; Gabriel Lai; Melissa Rotunno; Marissa M Shams-White; Elizabeth M Gillanders; Leah E Mechanic
Journal:  PLoS One       Date:  2021-12-31       Impact factor: 3.240

6.  The impact of COVID-19 on disease epidemiology, family dynamics, and social justice in Minnesota: All that you cannot see.

Authors:  Mark R Schleiss; Bruce Blazar; Emily P Chapman; Gretchen J Cutler; Diana B Cutts; Milton Mickey Eder; Shengxu Li; Susan M Mason; Brianna M Bretscher; Joseph P Neglia; Peter B Scal; Stuart S Winter
Journal:  J Clin Transl Sci       Date:  2022-06-27
  6 in total

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