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Research is reproducible when others can reproduce the results of a scientific study given only the original data, code, or documentation. Reproducibility is vital for the credibility of scientific research. It allows other researchers to verify findings, build upon them, and apply them in practical contexts. When a study is not reproducible, it raises questions about the credibility of scientific findings and can erode the trust in researchers publishing these findings. Therefore, ensuring reproducibility is a critical goal in the research community, involving transparent and detailed reporting of methodologies, open sharing of data and code, and rigorous peer review processes. This guide helps you understand how reproducibility might look like for your quantitative and qualitative research. It also offers a number of resources and tools you can use to make your research reproducible.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |