TY - JOUR T1 - Optimizing peer review: the JNIS approach JF - Journal of NeuroInterventional Surgery JO - J NeuroIntervent Surg SP - 1151 LP - 1153 DO - 10.1136/neurintsurg-2017-013260 VL - 9 IS - 12 AU - Michael Chen AU - Joshua A Hirsch AU - Reade De Leacy AU - Felipe C Albuquerque Y1 - 2017/12/01 UR - http://jnis.bmj.com/content/9/12/1151.abstract N2 - As JNIS approaches its 10  year anniversary, there has been consistent yearly growth in the number of manuscript submissions both nationally and internationally. As such, there is a corresponding need to grow and develop the peer review process. As stated by Proto: “The quality of a scientific journal is, in a major way, a reflection of the quality and dedication of its reviewers”.1 The purpose of this editorial commentary is to reinforce critical concepts that define the peer review process, particularly for younger physician scientists in our field. A sustainable, constructive, and robust peer review process affirms the integrity and rigor that our authors deserve. A literature exists that defines components of an outstanding review of scholarly articles.2–5 The present commentary highlights process elements that are unique to JNIS.The ScholarOne manuscripts system is the peer review tool used by JNIS and serves as one resource for reviewer selection. Initially, the Editor in Chief (EIC) receives all manuscripts and assigns submissions to individual Associate Editors (AEs). The AE is tasked with selecting and inviting reviewers to a particular manuscript. Thomson Reuters Reviewer Locater works by comparing new manuscript submissions against Web of ScienceTM Core Collection content to generate a list of experts as potential reviewers. This helps widen the reviewer pool beyond those contacts already known to the AE. This program displays reviewers with a known publication record in Web of Science. The Reviewer Locator uses a proprietary platform called ATLAS to parse and extract research metadata such as author names, title, abstract, keywords, and journal of publication from the Web of Science Core Collection. The actual database covers 12 000 high impact journals with 7.3 million potential reviewers with email addresses, institutional affiliations and ORCID ID records. Reviewer requests are automatically generated on each manuscript submission and … ER -