Literature DB >> 19858825

An integrated approach to evaluate faculty members' research performance.

Rama Iyengar1, Yanping Wang, Jennifer Chow, Dennis S Charney.   

Abstract

Medical school administrations need a widely acceptable method of assessing research performance of faculty to make management decisions. The challenge is to identify metrics that allow for comparison across fields. Level of extramural funding, quality of publications, and peer recognition are the commonly used indicators of success. European institutions typically use the impact factors of the journals where their scientists publish, whereas U.S. institutions, including Mount Sinai School of Medicine (MSSM), mostly use grant funding as the major criterion of research productivity. At MSSM, the authors, representing the Dean's Office, collected data on the performance of research faculty in 2006 and 2007 and developed a method to compare the impact factors of publications by individual researchers across disciplines. This was then compared with each individual's research density (grant funding/square foot of research space) to determine whether these measures correlated and whether combining them yielded insights different from using either one independently. Results indicated a weak correlation between the two metrics in 2006 data and no significant correlation in 2007 data. Each faculty member was plotted on a four-quadrant model on the basis of the impact of his or her publications and research density. This dual-metric model allowed for the identification of the strongest and weakest performers and classification of those in between to develop appropriately tailored strategies for mentoring and development at the level of individual faculty. This integrated approach, based on objective numerical criteria, shows promise as a useful method for management of the research enterprise of medical schools.

Mesh:

Year:  2009        PMID: 19858825     DOI: 10.1097/ACM.0b013e3181bb2364

Source DB:  PubMed          Journal:  Acad Med        ISSN: 1040-2446            Impact factor:   6.893


  6 in total

1.  Retracted science and the retraction index.

Authors:  Ferric C Fang; Arturo Casadevall
Journal:  Infect Immun       Date:  2011-08-08       Impact factor: 3.441

2.  Promotion and tenure letters: A guide for faculty.

Authors:  Michael Gottlieb; Teresa M Chan; Lalena M Yarris; Judith A Linden; Wendy C Coates
Journal:  AEM Educ Train       Date:  2022-06-01

3.  Effectiveness of iterative interventions to increase research productivity in one residency program.

Authors:  Richard Alweis; Suzanne Wenderoth; Anthony Donato
Journal:  J Community Hosp Intern Med Perspect       Date:  2015-12-11

4.  Comprehensive Researcher Achievement Model (CRAM): a framework for measuring researcher achievement, impact and influence derived from a systematic literature review of metrics and models.

Authors:  Jeffrey Braithwaite; Jessica Herkes; Kate Churruca; Janet C Long; Chiara Pomare; Claire Boyling; Mia Bierbaum; Robyn Clay-Williams; Frances Rapport; Patti Shih; Anne Hogden; Louise A Ellis; Kristiana Ludlow; Elizabeth Austin; Rebecca Seah; Elise McPherson; Peter D Hibbert; Johanna Westbrook
Journal:  BMJ Open       Date:  2019-03-30       Impact factor: 2.692

5.  A simple, generalizable method for measuring individual research productivity and its use in the long-term analysis of departmental performance, including between-country comparisons.

Authors:  Richard Wootton
Journal:  Health Res Policy Syst       Date:  2013-01-14

Review 6.  Causes for the persistence of impact factor mania.

Authors:  Arturo Casadevall; Ferric C Fang
Journal:  mBio       Date:  2014-03-18       Impact factor: 7.867

  6 in total

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