Bibliometric Evaluation of U.S. Neurosurgery Subspecialties and Academic Rank Using RCR Index

Abstract

Academic productivity, a key feature of academic neurosurgery, has been linked to academic rank, subspecialty, and institutional rank. Relative Citation Ratio (RCR) has emerged as a new metric of scholarly output that can make field-normalized comparisons between researchers, a feature unavailable in prior metrics such as h-index. Here we evaluate the influence of academic rank and neurosurgical subspecialties on RCR scores. We identified 1640 academic neurosurgeons from 115 ACGME-accredited programs in the United States, along with their neurosurgical specialty and demographic information, using publicly available data. Mean RCR (m-RCR) and weighted RCR (w-RCR) for each neurosurgeon were queried from the iCite database, which included publications from 2002-2020. m-RCR and w-RCR scores were compared across subspecialties and academic rank using multivariable regression while controlling for demographic factors. Multivariable analysis indicated that academic neurosurgeons in general neurosurgery (P= 0.039) and pediatric neurosurgery (P= 0.003) had lower m-RCR scores than their peers in other subspecialties. w-RCR did not differ significantly among subspecialties. Higher academic rank was associated with increased m-RCR (P<0.05) and w-RCR scores (P < 0.0001). Professors have a higher m-RCR score relative to assistant professors, while general and pediatric neurosurgery were linked to lower m-RCR values. Although neurosurgical subspecialty choice did not influence w-RCR, a higher w-RCR score corresponded to ahigher academic rank. Overall, the RCR metric can be utilized for field-normalized comparisons of faculty who differ in academic rank and subspecialty.