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Dataset Information

Author misrepresentation of institutional affiliations: protocol for an exploratory case study.


ABSTRACT:

Introduction

University ranking systems and the publish-or-perish dictum, among other factors, are driving universities and researchers around the world to increase their research productivity. Authors frequently report multiple affiliations in published articles. It is not known if the reported institutional affiliations are real affiliations, which is when the universities have contributed substantially to the research conducted and to the published manuscript. This study aims to establish whether there is an empirical basis for author affiliation misrepresentation in authors with multiple institutional affiliations.

Methods and analysis

This individual secondary data exploratory analysis on Scopus-indexed articles for 2016 will search all authors who report multiple insti

SUBMITTER: Bachelet VC 

PROVIDER: S-EPMC6398759 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature