Literature DB >> 22130145

Analytic model for academic research productivity having factors, interactions and implications.

Scott Kern1.   

Abstract

Financial support is dear in academia and will tighten further. How can the research mission be accomplished within new restraints? A model is presented for evaluating source components of academic research productivity. It comprises six factors: funding; investigator quality; efficiency of the research institution; the research mix of novelty, incremental advancement, and confirmatory studies; analytic accuracy; and passion. Their interactions produce output and patterned influences between factors. Strategies for optimizing output are enabled.

Mesh:

Year:  2011        PMID: 22130145      PMCID: PMC3280913          DOI: 10.4161/cbt.12.11.18368

Source DB:  PubMed          Journal:  Cancer Biol Ther        ISSN: 1538-4047            Impact factor:   4.742


  14 in total

1.  Stagnation and herd mentality in the biomedical sciences.

Authors:  Jonathan R Brody; Scott E Kern
Journal:  Cancer Biol Ther       Date:  2004-09-11       Impact factor: 4.742

2.  Where's the passion?

Authors:  Scott E Kern
Journal:  Cancer Biol Ther       Date:  2010-10-01       Impact factor: 4.742

Review 3.  Building research productivity in an academic setting.

Authors:  Vicki S Conn; Rose T Porter; Roxanne W McDaniel; Marilyn J Rantz; Meridean L Maas
Journal:  Nurs Outlook       Date:  2005 Sep-Oct       Impact factor: 3.250

4.  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

Review 5.  Characteristics of a productive research environment: literature review.

Authors:  C J Bland; M T Ruffin
Journal:  Acad Med       Date:  1992-06       Impact factor: 6.893

6.  Quality of the scientific literature: all that glitters is not gold.

Authors:  Eleftherios P Diamandis
Journal:  Clin Biochem       Date:  2006-09-15       Impact factor: 3.281

7.  Genomic signatures to guide the use of chemotherapeutics.

Authors:  Anil Potti; Holly K Dressman; Andrea Bild; Richard F Riedel; Gina Chan; Robyn Sayer; Janiel Cragun; Hope Cottrill; Michael J Kelley; Rebecca Petersen; David Harpole; Jeffrey Marks; Andrew Berchuck; Geoffrey S Ginsburg; Phillip Febbo; Johnathan Lancaster; Joseph R Nevins
Journal:  Nat Med       Date:  2006-10-22       Impact factor: 53.440

8.  Microarrays: retracing steps.

Authors:  Kevin R Coombes; Jing Wang; Keith A Baggerly
Journal:  Nat Med       Date:  2007-11       Impact factor: 53.440

9.  Scientific output and recognition: a study in the operation of the reward system in science.

Authors:  S Cole; J R Cole
Journal:  Am Sociol Rev       Date:  1967-06

10.  Why most published research findings are false.

Authors:  John P A Ioannidis
Journal:  PLoS Med       Date:  2005-08-30       Impact factor: 11.613

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  2 in total

1.  Using publication metrics to highlight academic productivity and research impact.

Authors:  Christopher R Carpenter; David C Cone; Cathy C Sarli
Journal:  Acad Emerg Med       Date:  2014-10       Impact factor: 3.451

Review 2.  Benchmarks for Academic Oncology Faculty.

Authors:  Lowell Anthony; George Atweh; Ravi Bhatia; Lisa A Carey; Jenny C Chang; Martin J Edelman; Philip W Kantoff; Merry Jennifer Markham; Wells Messersmith; Edward L Nelson; Kurt Oettel; Ruth O'Regan; Claire F Verschraegen; Julie M Vose
Journal:  JCO Oncol Pract       Date:  2020-09-30
  2 in total

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