Literature DB >> 22544537

Distribution of the h-index in radiation oncology conforms to a variation of power law: implications for assessing academic productivity.

Matthew R Quigley1, Emma B Holliday, Clifton D Fuller, Mehee Choi, Charles R Thomas.   

Abstract

Leaders of academic institutions evaluate academic productivity when deciding to hire, promote, or award resources. This study examined the distribution of the h-index, an assessment of academic standing, among radiation oncologists. The authors collected h-indices for 826 US academic radiation oncologists from a commercial bibliographic database (SCOPUS, Elsevier B.V., NL). Then, logarithmic transformation was performed on h-indices and ranked h-indices, and results were compared to estimates of a power law distribution. The h-index frequency distribution conformed to both the log-linear variation of a power law (r (2) = .99) and the beta distribution with the same fitting exponents as previously described in a power law analysis of the productivity of neurosurgeons. Within radiation oncology, as in neurosurgery, there are exceedingly more faculty with an h-index of 1-2. The distribution fitting the same variation of a power law within two fields suggests applicability to other areas of academia.

Mesh:

Year:  2012        PMID: 22544537     DOI: 10.1007/s13187-012-0363-y

Source DB:  PubMed          Journal:  J Cancer Educ        ISSN: 0885-8195            Impact factor:   2.037


  18 in total

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Journal:  Acad Radiol       Date:  2010-05-15       Impact factor: 3.173

2.  Has the time come for bibliometrics and the h-index in academic radiology?

Authors:  Mark E Mullins
Journal:  Acad Radiol       Date:  2010-07       Impact factor: 3.173

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.  The state of h index research. Is the h index the ideal way to measure research performance?

Authors:  Lutz Bornmann; Hans-Dieter Daniel
Journal:  EMBO Rep       Date:  2008-12-12       Impact factor: 8.807

5.  The h-index and medical physics.

Authors:  Clive Baldock
Journal:  Australas Phys Eng Sci Med       Date:  2008-06       Impact factor: 1.430

6.  Does citation analysis reveal association between h-index and academic rank in urology?

Authors:  Brian M Benway; Poonam Kalidas; Jose M Cabello; Sam B Bhayani
Journal:  Urology       Date:  2009-07       Impact factor: 2.649

7.  The h index and the identification of global benchmarks for breast cancer research output.

Authors:  N A Healy; R W Glynn; Cristian Scutaru; David Groneberg; M J Kerin; K J Sweeney
Journal:  Breast Cancer Res Treat       Date:  2011-03-12       Impact factor: 4.872

8.  Estimation of citation-based scholarly activity among radiation oncology faculty at domestic residency-training institutions: 1996-2007.

Authors:  Mehee Choi; Clifton D Fuller; Charles R Thomas
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-11-05       Impact factor: 7.038

9.  The e-index, complementing the h-index for excess citations.

Authors:  Chun-Ting Zhang
Journal:  PLoS One       Date:  2009-05-05       Impact factor: 3.240

10.  Universality of rank-ordering distributions in the arts and sciences.

Authors:  Gustavo Martínez-Mekler; Roberto Alvarez Martínez; Manuel Beltrán del Río; Ricardo Mansilla; Pedro Miramontes; Germinal Cocho
Journal:  PLoS One       Date:  2009-03-11       Impact factor: 3.240

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  5 in total

1.  Citation-based Estimation of Scholarly Activity Among Domestic Academic Radiation Oncologists: Five-Year Update.

Authors:  Mehee Choi; Emma B Holliday; Reshma Jagsi; Lynn D Wilson; Clifton D Fuller; Charles R Thomas
Journal:  J Radiat Oncol       Date:  2014-03-01

2.  Scholastic activity among radiation oncology residents at US academic institutions: a benchmark analysis.

Authors:  Shushan Rana; Emma B Holliday; Reshma Jagsi; Lynn D Wilson; Mehee Choi; Charles R Thomas; Clifton D Fuller
Journal:  J Cancer Educ       Date:  2013-09       Impact factor: 2.037

3.  Gender trends in radiation oncology in the United States: a 30-year analysis.

Authors:  Awad A Ahmed; Brian Egleston; Emma Holliday; Gary Eastwick; Cristiane Takita; Reshma Jagsi
Journal:  Int J Radiat Oncol Biol Phys       Date:  2013-11-01       Impact factor: 7.038

4.  A machine learning toolkit for genetic engineering attribution to facilitate biosecurity.

Authors:  Ethan C Alley; Miles Turpin; Andrew Bo Liu; Taylor Kulp-McDowall; Jacob Swett; Rey Edison; Stephen E Von Stetina; George M Church; Kevin M Esvelt
Journal:  Nat Commun       Date:  2020-12-08       Impact factor: 14.919

5.  A Dynamic Network Model to Explain the Development of Excellent Human Performance.

Authors:  Ruud J R Den Hartigh; Marijn W G Van Dijk; Henderien W Steenbeek; Paul L C Van Geert
Journal:  Front Psychol       Date:  2016-04-20
  5 in total

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