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Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level

Citations

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Cited by:

  1. B Ian Hutchins & Travis A Hoppe & Rebecca A Meseroll & James M Anderson & George M Santangelo, 2017. "Additional support for RCR: A validated article-level measure of scientific influence," PLOS Biology, Public Library of Science, vol. 15(10), pages 1-3, October.
  2. Judit Dobránszki & Jaime A. Teixeira da Silva, 2019. "Corrective factors for author- and journal-based metrics impacted by citations to accommodate for retractions," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 387-398, October.
  3. Corrêa Jr., Edilson A. & Silva, Filipi N. & da F. Costa, Luciano & Amancio, Diego R., 2017. "Patterns of authors contribution in scientific manuscripts," Journal of Informetrics, Elsevier, vol. 11(2), pages 498-510.
  4. Živan Živković & Marija Panić, 2020. "Development of science and education in the Western Balkan countries: competitiveness with the EU," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2319-2339, September.
  5. Dunaiski, Marcel & Geldenhuys, Jaco & Visser, Willem, 2019. "On the interplay between normalisation, bias, and performance of paper impact metrics," Journal of Informetrics, Elsevier, vol. 13(1), pages 270-290.
  6. A Cecile J W Janssens & Michael Goodman & Kimberly R Powell & Marta Gwinn, 2017. "A critical evaluation of the algorithm behind the Relative Citation Ratio (RCR)," PLOS Biology, Public Library of Science, vol. 15(10), pages 1-5, October.
  7. Adrian G Barnett & Pauline Zardo & Nicholas Graves, 2018. "Randomly auditing research labs could be an affordable way to improve research quality: A simulation study," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-17, April.
  8. Michael Taylor, 2023. "Slow, slow, quick, quick, slow: five altmetric sources observed over a decade show evolving trends, by research age, attention source maturity and open access status," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2175-2200, April.
  9. Mohammed S. Alqahtani & Mohamed Abbas & Mohammed Abdul Muqeet & Hussain M. Almohiy, 2022. "Research Productivity in Terms of Output, Impact, and Collaboration for University Researchers in Saudi Arabia: SciVal Analytics and t -Tests Statistical Based Approach," Sustainability, MDPI, vol. 14(23), pages 1-21, December.
  10. Rachel Heyard & Hanna Hottenrott, 2020. "The Impact of Research Funding on Knowledge Creation and Dissemination: A study of SNSF Research Grants," Papers 2011.11274, arXiv.org, revised Aug 2021.
  11. Torres-Salinas, Daniel & Valderrama-Baca, Pilar & Arroyo-Machado, Wenceslao, 2022. "Is there a need for a new journal metric? Correlations between JCR Impact Factor metrics and the Journal Citation Indicator—JCI," Journal of Informetrics, Elsevier, vol. 16(3).
  12. Thelwall, Mike, 2018. "Dimensions: A competitor to Scopus and the Web of Science?," Journal of Informetrics, Elsevier, vol. 12(2), pages 430-435.
  13. Heng Huang & Donghua Zhu & Xuefeng Wang, 2022. "Evaluating scientific impact of publications: combining citation polarity and purpose," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5257-5281, September.
  14. Bornmann, Lutz & Marx, Werner, 2018. "Critical rationalism and the search for standard (field-normalized) indicators in bibliometrics," Journal of Informetrics, Elsevier, vol. 12(3), pages 598-604.
  15. Chrysoula Zerva & Minh-Quoc Nghiem & Nhung T. H. Nguyen & Sophia Ananiadou, 2020. "Cited text span identification for scientific summarisation using pre-trained encoders," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 3109-3137, December.
  16. Lutz Bornmann & Alexander Tekles & Loet Leydesdorff, 2019. "How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1187-1205, May.
  17. Dunaiski, Marcel & Geldenhuys, Jaco & Visser, Willem, 2019. "Globalised vs averaged: Bias and ranking performance on the author level," Journal of Informetrics, Elsevier, vol. 13(1), pages 299-313.
  18. Dongyu Zang & Chunli Liu, 2023. "Exploring the clinical translation intensity of papers published by the world’s top scientists in basic medicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2371-2416, April.
  19. Li, Heyang & Wu, Meijun & Wang, Yougui & Zeng, An, 2022. "Bibliographic coupling networks reveal the advantage of diversification in scientific projects," Journal of Informetrics, Elsevier, vol. 16(3).
  20. Mike Thelwall & Kayvan Kousha & Mahshid Abdoli, 2017. "Is medical research informing professional practice more highly cited? Evidence from AHFS DI Essentials in drugs.com," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 509-527, July.
  21. Nikoleta E. Glynatsi & Vincent A. Knight, 2021. "A bibliometric study of research topics, collaboration, and centrality in the iterated prisoner’s dilemma," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-12, December.
  22. Jay Bhattacharya & Mikko Packalen, 2020. "Stagnation and Scientific Incentives," NBER Working Papers 26752, National Bureau of Economic Research, Inc.
  23. Rachel Heyard & Hanna Hottenrott, 2021. "The value of research funding for knowledge creation and dissemination: A study of SNSF Research Grants," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-16, December.
  24. Juan María Hernández & Pablo Dorta-González, 2020. "Interdisciplinarity Metric Based on the Co-Citation Network," Mathematics, MDPI, vol. 8(4), pages 1-8, April.
  25. Tahamtan, Iman & Bornmann, Lutz, 2018. "Creativity in science and the link to cited references: Is the creative potential of papers reflected in their cited references?," Journal of Informetrics, Elsevier, vol. 12(3), pages 906-930.
  26. Latefa Ali Dardas & Malik Sallam & Amanda Woodward & Nadia Sweis & Narjes Sweis & Faleh A. Sawair, 2023. "Evaluating Research Impact Based on Semantic Scholar Highly Influential Citations, Total Citations, and Altmetric Attention Scores: The Quest for Refined Measures Remains Illusive," Publications, MDPI, vol. 11(1), pages 1-16, January.
  27. Janne-Tuomas Seppänen & Hanna Värri & Irene Ylönen, 2022. "Co-citation Percentile Rank and JYUcite: a new network-standardized output-level citation influence metric and its implementation using Dimensions API," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3523-3541, June.
  28. Chi-Swian Wong, 2021. "Science Mapping: A Scientometric Review on Resource Curses, Dutch Diseases, and Conflict Resources during 1993–2020," Energies, MDPI, vol. 14(15), pages 1-48, July.
  29. Raynell Lang & Kholoud Porter & Hartmut B. Krentz & M. John Gill, 2020. "Evaluating medical conferences: the emerging need for a quality metric," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 759-764, January.
  30. Bornmann, Lutz & Williams, Richard, 2017. "Can the journal impact factor be used as a criterion for the selection of junior researchers? A large-scale empirical study based on ResearcherID data," Journal of Informetrics, Elsevier, vol. 11(3), pages 788-799.
  31. Loet Leydesdorff & Jordan A. Comins & Aaron A. Sorensen & Lutz Bornmann & Iina Hellsten, 2016. "Cited references and Medical Subject Headings (MeSH) as two different knowledge representations: clustering and mappings at the paper level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2077-2091, December.
  32. Thelwall, Mike & Fairclough, Ruth, 2017. "The accuracy of confidence intervals for field normalised indicators," Journal of Informetrics, Elsevier, vol. 11(2), pages 530-540.
  33. John P A Ioannidis & Kevin Boyack & Paul F Wouters, 2016. "Citation Metrics: A Primer on How (Not) to Normalize," PLOS Biology, Public Library of Science, vol. 14(9), pages 1-7, September.
  34. Joseph Staudt & Huifeng Yu & Robert P Light & Gerald Marschke & Katy Börner & Bruce A Weinberg, 2018. "High-impact and transformative science (HITS) metrics: Definition, exemplification, and comparison," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-23, July.
  35. B Ian Hutchins & Matthew T Davis & Rebecca A Meseroll & George M Santangelo, 2019. "Predicting translational progress in biomedical research," PLOS Biology, Public Library of Science, vol. 17(10), pages 1-25, October.
  36. Thomas Klebel & Stefan Reichmann & Jessica Polka & Gary McDowell & Naomi Penfold & Samantha Hindle & Tony Ross-Hellauer, 2020. "Peer review and preprint policies are unclear at most major journals," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-19, October.
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