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Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program), , , , , , , and . (2020)cite arxiv:2003.12206Comment: To appear at JMLR, 16 pages + Appendix.Does the web of science accurately represent chinese scientific performance?, , and . J. Assoc. Inf. Sci. Technol., 70 (10): 1138-1152 (2019)Understanding the contribution of UK public health research to clinical guidelines: a bibliometric analysis., , , , and . F1000Research, (2019)The sum of it all: Revealing collaboration patterns by combining authorship and acknowledgements., , , and . J. Informetrics, 11 (1): 80-87 (2017)Are elite journals declining?, , and . J. Assoc. Inf. Sci. Technol., 65 (4): 649-655 (2014)Estimating open access mandate effectiveness: The MELIBEA score., , , , and . J. Assoc. Inf. Sci. Technol., 67 (11): 2815-2828 (2016)Tweets as impact indicators: Examining the implications of automated "bot" accounts on Twitter., , , , , and . J. Assoc. Inf. Sci. Technol., 67 (1): 232-238 (2016)The impact factor's Matthew Effect: A natural experiment in bibliometrics., and . J. Assoc. Inf. Sci. Technol., 61 (2): 424-427 (2010)Context matters: how the usage and semantics of hedging terms differs between sections of scientific papers., , and . ISSI, page 1940-1945. Edizioni Efesto, (2019)The role of handbooks in knowledge creation and diffusion: A case of science and technology studies, , , , and . Journal of Informetrics, 8 (3): 693 - 709 (2014)