Bradford's law: identification of the core journals for neurosurgery and its subspecialties

J Neurosurg. 2016 Feb;124(2):569-79. doi: 10.3171/2015.3.JNS15149. Epub 2015 Sep 4.

Abstract

Objective: Bradford's law describes the scatter of citations for a given subject or field. It can be used to identify the most highly cited journals for a field or subject. The objective of this study was to use currently accepted formulations of Bradford's law to identify core journals of neurosurgery and neurosurgical subspecialties.

Methods: All original research publications from 2009 to 2013 were analyzed for the top 25 North American academic neurosurgeons from each subspecialty. The top 25 were chosen from a ranked career h-index list identified from previous studies. Egghe's formulation and the verbal formulation of Bradford's law were applied to create specific citation density zones and identify the core journals for each subspecialty. The databases were then combined to identify the core journals for all of academic neurosurgery.

Results: Using Bradford's verbal law with 4 zone models, the authors were able to identify the core journals of neurosurgery and its subspecialties. The journals found in the most highly cited first zone are presented here as the core journals. For neurosurgery as a whole, the core included the following journals: Journal of Neurosurgery, Neurosurgery, Spine, Stroke, Neurology, American Journal of Neuroradiology, International Journal of Radiation Oncology Biology Physics, and New England Journal of Medicine. The core journals for each subspecialty are presented in the manuscript.

Conclusions: Bradford's law can be used to identify the core journals of neurosurgery and its subspecialties. The core journals vary for each neurosurgical subspecialty, but Journal of Neurosurgery and Neurosurgery are among the core journals for each neurosurgical subspecialty.

Keywords: Bradford’s law; IF = impact factor; Scopus; bibliometrics; citation analysis; core journals; h-index; neurosurgery; subspecialties.

Publication types

  • Review

MeSH terms

  • Bibliometrics*
  • Humans
  • Neurosurgeons
  • Neurosurgery / statistics & numerical data
  • Neurosurgery / trends*
  • Periodicals as Topic*