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Reframing the perception of outliers and negative data in translational research
12 references·0 citing·48 second hop
Reframing the perception of outliers and negative data in translational research (2022)Reframing the perception of outliers and …Blots on a field? (2022)Blots on a field?Researcher's Perceptions on Publishing “Negative” Results and Open Access (2020)Researcher's Perceptions on P…Distinguishing Predatory from Reputable Publishing Practices (2020)Distinguishing Predatory from…Why (and how) we should publish negative data (2019)Why (and how) we should publi…Predatory journals: no definition, no defence (2019)Predatory journals: no defini…Highlight negative results to improve science (2019)Highlight negative results to…The preregistration revolution (2018)The preregistration revolutionThe preregistration revolution needs to distinguish between predictions and analyses (2018)The preregistration revolutio…Peer reviewers need more nurturing (2017)Peer reviewers need more nurt…The Importance of Publishing Negative Results (2016)The Importance of Publishing …Brains, Genes, and Primates (2015)Brains, Genes, and PrimatesRetracted Science and the Retraction Index (2011)Retracted Science and the Ret…Why the impact factor of journals should not be used for evaluating research (1997)How Many Scientists Fabricate and Falsify Research? A Systematic Review and Meta-Analysis of Survey Data (2009)Retractions in the scientific literature: is the incidence of research fraud increasing? (2010)Misconduct accounts for the majority of retracted scientific publications (2012)Power failure: why small sample size undermines the reliability of neuroscience (2013)The natural selection of bad science (2016)Visual properties of neurons in a polysensory area in superior temporal sulcus of the macaque. (1981)Cultures in chimpanzees (1999)Do chimpanzees know what conspecifics know? (2001)Brain/MINDS: A Japanese National Brain Project for Marmoset Neuroscience (2016)Current Status of and Perspectives on the Application of Marmosets in Neurobiology (2020)Opportunities and limitations of genetically modified nonhuman primate models for neuroscience research (2020)Judgment under Uncertainty: Heuristics and Biases (1975)Why Most Published Research Findings Are False (2005)Thinking, Fast and Slow (2011)Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015 (2018)Many Labs 2: Investigating Variation in Replicability Across Samples and Settings (2018)Replicability, Robustness, and Reproducibility in Psychological Science (2021)CONJECTURES AND REFUTATIONS (1963)False-Positive Psychology (2011)What should a preregistration contain? (2020)Replication in entrepreneurship (2021)Just a number? Using artificial intelligence to explore perceived founder age in entrepreneurial fundraising (2023)Beyond Beall’s List: Better understanding predatory publishers (2015)Stop this waste of people, animals and money (2017)A walk on the wild side: ‘Predatory’ journals and information asymmetries in scientific evaluations (2018)Infodemics and health misinformation: a systematic review of reviews (2022)ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health (2023)The strain on scientific publishing (2024)Logik der Forschung (1935)Believe it or not: how much can we rely on published data on potential drug targets? (2011)Negative results are disappearing from most disciplines and countries (2011)Dissimulate or disseminate? A survey on the fate of negative results (2022)Reporting quality of abstracts of systematic reviews/meta-analyses: An appraisal of Arab Journal of Urology across 12 years: the PRISMA-Abstracts checklist (2022)What public health challenges and unmet medical needs would benefit from interdisciplinary collaboration in the EU? A survey and multi-stakeholder debate (2024)Do Pressures to Publish Increase Scientists' Bias? An Empirical Support from US States Data (2010)Replication studies: Bad copy (2012)Choices of immediate open access and the relationship to journal ranking and publish-and-read deals (2022)Ending publication bias: A values-based approach to surface null and negative results (2025)Factors relating to the publication rate of abstracts presented from 2012 to 2015 at the Society for Vascular Surgery Annual Meeting (2019)Is positive publication bias really a bias, or an intentionally created discrimination toward negative results? (2019)Convergence science in the Anthropocene: Navigating the known and unknown (2020)Impact factor and citation metrics in phase III cancer trials (2021)Dissertation writing in post graduate medical education (2022)Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms (2024)Do economists replicate? (2023)Generative AI can fabricate advanced scientific visualizations: ethical implications and strategic mitigation framework (2024)How to fight fake papers: a review on important information sources and steps towards solution of the problem (2024)
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References

  • 2018The preregistration revolution2,252 cited
  • 2019Predatory journals: no definition, no defence837 cited
  • 2011Retracted Science and the Retraction Index427 cited
  • 2015Brains, Genes, and Primates275 cited
  • 2022Blots on a field?169 cited
  • 2019Highlight negative results to improve science72 cited
  • 2019Why (and how) we should publish negative data63 cited
  • 2016The Importance of Publishing Negative Results50 cited
  • 2020Researcher's Perceptions on Publishing “Negative” Results and Open Access45 cited
  • 2018The preregistration revolution needs to distinguish between predictions and analyses36 cited
  • 2020Distinguishing Predatory from Reputable Publishing Practices21 cited
  • 2017Peer reviewers need more nurturing5 cited

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