I have been invited to review a paper for the F1000Research journal. I would like to gather your thoughts on the credibility of this journal and seek any advice you may have if I decide to accept the invitation to review a paper for them
The short answer is yes. One important reason is the fact that the journal “F1000Research” is now part of the Taylor & Francis portfolio https://authorservices.taylorandfrancis.com/choose-open/publishing-open-access/what-is-f1000research/ which is a trusted publisher.
Another reason is that F1000Research received a DOAJ seal https://doaj.org/toc/2046-1402 and is indexed in Scopus https://www.scopus.com/sourceid/21100258853 The APC they charge is reasonable looking at what comparable open access journals charge nowadays https://f1000research.com/for-authors/article-processing-charges
So again, if the manuscript is worthwhile, you can safely decide to accept the request to review.
Best regards.
PS. Some background behind the founder (https://group.sagepub.com/press-releases/technology-from-sage-acquires-reading-authoring-and-collaboration-tool-sciwheel ) and the organization F1000 (https://en.wikipedia.org/wiki/F1000_(publisher) ) gives you an idea where this journal is coming from.
F1000Research is an open-access, peer-reviewed scientific publishing platform. It follows a post-publication peer review model, where articles are published first and then undergo peer review. Here are some considerations regarding the credibility of F1000Research:
Open Access Model: F1000Research employs an open-access model, which means that articles are freely accessible to the public. This can enhance the dissemination of research findings and increase accessibility, but it's important to consider how the journal sustains its operations, such as through author fees or other funding models.
Post-publication Peer Review: Unlike traditional journals, F1000Research uses a post-publication peer review system. This means that articles are made publicly available before formal peer review. The review process is transparent, with reviewer comments and author responses published alongside the articles. This model can promote rapid dissemination of research but may also lead to varying degrees of scrutiny for different papers.
Transparency and Openness: The journal's commitment to transparency is evident through its open peer review process. This openness allows readers to see not only the final published article but also the feedback and responses from reviewers and authors. This transparency can contribute to the credibility of the research.
Indexing and Impact Factor: It's worth checking if F1000Research is indexed in reputable databases such as PubMed, Scopus, or Web of Science. Additionally, consider the journal's impact factor, although this metric may be less relevant for journals that use a post-publication peer review model.
Community Perception: Assessing how the scientific community perceives the journal can provide insights into its credibility. You might look for discussions and reviews from researchers in your field regarding the journal's editorial standards and the quality of published research.
While F1000Research has gained recognition for its innovative approach to publishing, opinions on open-access and post-publication peer review models can vary within the scientific community. As with any journal, it's essential to consider the specific paper you're reviewing and evaluate it on its individual merits, regardless of the journal's reputation. If you have any concerns about the journal or the paper's quality, you can communicate these in your review.
ChatGPT answers a lot of easy questions. I would advise the scientific community to make use of it. Mind that answers will not contain information produced after 2022. There is always a lag of one year after today.
No better source than a grab out of the opinions of peers, I would say! Indeed, ChatGPT, and all the other AI Chat boxes, can save a lot of time. But, when flipping a coin, it is imperative to consider the opposing side of the coin as well. Most, but not all, AI Chat boxes do not give references or substantiation of the statements made by them. In science, this is an imperative step to make, when producing a scientific paper.