Improving the peer-review process and editorial quality: key errors escaping the review and editorial process in top scientific journals

Margalida, Antoni; Colomer, Mª Àngels (2016). Improving the peer-review process and editorial quality: key errors escaping the review and editorial process in top scientific journals. PeerJ, 4(e1670), e1670. PeerJ, Ltd 10.7717/peerj.1670

[img]
Preview
Text
Margalida_PeeJ2016.pdf - Published Version
Available under License Creative Commons: Attribution (CC-BY).

Download (1MB) | Preview

We apply a novel mistake index to assess trends in the proportion of corrections published between 1993 and 2014 in Nature, Science and PNAS. The index revealed a progressive increase in the proportion of corrections published in these three highquality journals. The index appears to be independent of the journal impact factor or the number of items published, as suggested by a comparative analyses among 16 top scientific journals of different impact factors and disciplines. A more detailed analysis suggests that the trend in the time-to-correction increased significantly over time and also differed among journals (Nature 233 days; Science 136 days; PNAS 232 days). A detailed review of 1,428 errors showed that 60% of corrections were related to figures, authors, references or results. According to the three categories established, 34.7% of the corrections were considered mild, 47.7% moderate and 17.6% severe, also differing among journals. Errors occurring during the printing process were responsible for 5% of corrections in Nature, 3% in Science and 18% in PNAS. The measurement of the temporal trends in the quality of scientific manuscripts can assist editors and reviewers in identifying the most common mistakes, increasing the rigor of peer-review and improving the quality of published scientific manuscripts.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE)

UniBE Contributor:

Margalida, Antoni

Subjects:

000 Computer science, knowledge & systems
500 Science

ISSN:

2167-8359

Publisher:

PeerJ, Ltd

Language:

English

Submitter:

Olivier Roth

Date Deposited:

12 Jul 2017 09:44

Last Modified:

16 Jul 2017 02:12

Publisher DOI:

10.7717/peerj.1670

PubMed ID:

26893961

BORIS DOI:

10.7892/boris.93833

URI:

https://boris.unibe.ch/id/eprint/93833

Actions (login required)

Edit item Edit item
Provide Feedback