Getting off the impact factor: an antidote
- Published
- Accepted
- Subject Areas
- Science Policy, Statistics
- Keywords
- bibliometrics, scientometrics, research evaluation, impact factor, citation metrics, h-index, bias, individual performance assesment, manuscript submission, cumulative advantage
- Copyright
- © 2016 Belikov
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. Getting off the impact factor: an antidote. PeerJ Preprints 4:e2391v1 https://doi.org/10.7287/peerj.preprints.2391v1
Abstract
Articles published in high Impact factor (IF) journals receive higher visibility and attached prestige, regardless of their actual scientific merit. This results in unfair gain in subsequent number of citations to these articles, which also further increases the journals’ IFs. While there is a gradual move in assessment of researchers from IFs towards individual performance metrics, such as the h-index, those metrics are calculated on the basis of citation counts, and hence are still affected by the described phenomena. Naturally, this leads to increased submission and rejection rates in high IF journals, considerably delaying publication of manuscripts and wasting researchers’ time. Additionally, an article’s visibility increases with time, as it accumulates citations, thus severely disadvantaging new articles and early-career researchers. Here I propose a simple method for evaluation of individual articles and researchers that compensates for the effects of the journal IF and article age. In essence, the number of citations to an article is divided by the median number of citations to the articles published in the same journal in the same year. This ratio indicates the performance of an article relative to its closest competitors, is free from journal and age bias, and thus reflects an article’s scientific merit. An author’s (or institution’s) index is calculated as the sum of these article scores. Widespread adoption of this index, especially by decision-making authorities, will refocus scientists from besieging elitist journals to actually doing research.
Author Comment
This is a preprint submission to PeerJ Preprints.