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: Since 2013, there has been a dramatic increase in the number of preprint servers available online. To date, little is known about the position of researchers, funders, research performing organisations and other stakeholders with respect to this fast-paced landscape. In this article, we explore the benefits and challenges of preprint posting, along with issues such as infrastructure and financial sustainability. We also discuss the definition of a 'preprint' in different communities, and the impact this has on further uptake. : This study is based on 38 detailed semi-structured interviews of key stakeholders based on a purposive heterogeneous sampling approach. Interviews were undertaken between October 2018 and January 2019. These were recorded, transcribed and subjected to thematic analysis to identify trends. Interview questions were designed based on Innovation Diffusion Theory, which is also used to interpret the results of this study. : Our study is the first using empirical data to understand the new wave of preprint servers and found that early and fast dissemination is the most appealing feature of the practice. The main concerns are related to the lack of quality assurance and the 'Ingelfinger rule'. We identified trust as an essential enabler of preprint posting and stress the enabling role of Twitter in showcasing preprints and enabling comments on these. : The preprints landscape is evolving fast and disciplinary communities are at different stages in the innovation diffusion process. The landscape is characterised by significant experimentation, which leads to the conclusion that a one-size-fits-all approach to preprints is not feasible. Cooperation and active engagement between the stakeholders involved will play an important role in the future. In our paper, we share questions for the further development of the preprints landscape, with the most important being whether preprint posting will develop as a publisher- or researcher-centric practice.
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http://dx.doi.org/10.12688/f1000research.19619.2 | DOI Listing |
J Am Med Inform Assoc
September 2025
The Center for Health AI and Synthesis of Evidence (CHASE), Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA 19104, United States.
Objectives: By October 1, 2024, over 450,000 COVID-19 manuscripts were published, with 10% posted as unreviewed preprints. While they accelerate knowledge sharing, their inconsistent quality complicates systematic studies.
Materials And Methods: We propose a 2-stage method to include preprints in meta-analyses.
Neurosurg Rev
September 2025
Lillian S. Wells Department of Neurosurgery, University of Florida, Gainesville, FL, USA.
The traditional peer review process is time-consuming and can delay the dissemination of critical research. This study evaluates the effectiveness of artificial intelligence (AI) in predicting the acceptance or rejection of neurosurgical manuscripts, offering a possible solution to optimize the process. Neurosurgical preprints from Preprint.
View Article and Find Full Text PDFMol Pharmacol
July 2025
Department of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, California; Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California; Department of Bioengineering and Therapeutic Sciences, University of Californ
The hepatic P450 hemoproteins CYPs 4A are typical N-terminally anchored type I endoplasmic reticulum (ER) proteins, inducible by many hypolipidemic drugs and peroxisome proliferators. They are engaged in the ω-/ω-1-oxidation of various fatty acids including arachidonic acid, prostaglandins, and leukotrienes and in the biotransformation of some therapeutic drugs. Because the proteolytic turnover of the mammalian liver CYPs 4A remains obscure, we have characterized it.
View Article and Find Full Text PDFmedRxiv
July 2025
The Center for Health AI and Synthesis of Evidence (CHASE), Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.
Objectives: By October 1, 2024, over 450,000 COVID-19 manuscripts were published, with 10% posted as unreviewed preprints. While they accelerate knowledge sharing, their inconsistent quality complicates systematic studies.
Materials And Methods: We propose a two-stage method to include preprints in meta-analyses.
bioRxiv
July 2025
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
The human brain dynamically organizes its activity through coordinated fluctuations, whose spatiotemporal interactions form the foundation of functional networks. While large-scale co-fluctuations are well-studied, the principles governing their amplitude-dependent transitions-particularly across high, intermediate, and low-amplitude regimes-remain unknown. We introduce a co-fluctuation score to quantify how instantaneous functional interactions reorganize with global amplitude dynamics.
View Article and Find Full Text PDF