Assessment of transparency indicators across the biomedical literature: How open is open?
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Assessment of transparency indicators across the biomedical literature: How open is open?
Authors
Keywords
Conflicts of interest, Scientific publishing, Citation analysis, Algorithms, Government funding of science, Metadata, Open science, Reproducibility
Journal
PLOS BIOLOGY
Volume 19, Issue 3, Pages e3001107
Publisher
Public Library of Science (PLoS)
Online
2021-03-02
DOI
10.1371/journal.pbio.3001107
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Examining influential factors for acknowledgements classification using supervised learning
- (2020) Min Song et al. PLoS One
- Reproducible research practices, openness and transparency in health economic evaluations: study protocol for a cross-sectional comparative analysis
- (2020) Ferrán Catalá-López et al. BMJ Open
- The Rigor and Transparency Index Quality Metric for Assessing Biological and Medical Science Methods.
- (2020) Joe Menke et al. iScience
- A detailed open access model of the PubMed literature
- (2020) Kevin W. Boyack et al. Scientific Data
- The NIH Open Citation Collection: A public access, broad coverage resource
- (2019) B. Ian Hutchins et al. PLOS BIOLOGY
- Reproducible research practices, transparency, and open access data in the biomedical literature, 2015–2017
- (2018) Joshua D. Wallach et al. PLOS BIOLOGY
- Making sense of replications
- (2017) Brian A Nosek et al. eLife
- 1,500 scientists lift the lid on reproducibility
- (2016) Monya Baker NATURE
- Enhancing reproducibility for computational methods
- (2016) V. Stodden et al. SCIENCE
- What does research reproducibility mean?
- (2016) Steven N. Goodman et al. Science Translational Medicine
- Reproducible Research Practices and Transparency across the Biomedical Literature
- (2016) Shareen A. Iqbal et al. PLOS BIOLOGY
- Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD Statement
- (2015) G. S. Collins et al. BRITISH JOURNAL OF SURGERY
- Estimating the reproducibility of psychological science
- (2015) SCIENCE
- Promoting an open research culture
- (2015) B. A. Nosek et al. SCIENCE
- Increasing value and reducing waste in research design, conduct, and analysis
- (2014) John P A Ioannidis et al. LANCET
- Journals unite for reproducibility
- (2014) M. McNutt SCIENCE
- How to Make More Published Research True
- (2014) John P. A. Ioannidis PLOS MEDICINE
- Ushering in a New Era of Open Science Through Data Sharing
- (2013) Joseph S. Ross et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Raise standards for preclinical cancer research
- (2012) C. Glenn Begley et al. NATURE
- Design and Update of a Classification System: The UCSD Map of Science
- (2012) Katy Börner et al. PLoS One
- Believe it or not: how much can we rely on published data on potential drug targets?
- (2011) Florian Prinz et al. NATURE REVIEWS DRUG DISCOVERY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now