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Dataset Information

Analysis of single comments left for bioRxiv preprints till September 2019.


ABSTRACT:

Introduction

While early commenting on studies is seen as one of the advantages of preprints, the type of such comments, and the people who post them, have not been systematically explored.

Materials and methods

We analysed comments posted between 21 May 2015 and 9 September 2019 for 1983 bioRxiv preprints that received only one comment on the bioRxiv website. The comment types were classified by three coders independently, with all differences resolved by consensus.

Results

Our analysis showed that 69% of comments were posted by non-authors (N = 1366), and 31% by the preprints' authors themselves (N = 617). Twelve percent of non-author comments (N = 168) were full review reports traditionally found during journal review, while the rest most commonly contained praises

SUBMITTER: Malicki M 

PROVIDER: S-EPMC8047782 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature