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Scientific laws of research funding to support citations and diffusion of knowledge in life science

Author

Listed:
  • Melika Mosleh

    (University of Birmingham)

  • Saeed Roshani

    (Allameh Tabataba’i University)

  • Mario Coccia

    (National Research Council of Italy, Collegio Carlo Alberto, Via Real Collegio)

Abstract

One of the main problems in scientometrics is to explore the factors that affect the growth of citations in publications to identify best practices of research policy to increase the diffusion of scientific research and knowledge in science and society. The principal purpose of this study is to analyze how research funding affects the citation-based performance of scientific output in vital research fields of life science, which is a critical province (area of knowledge) in science to improve the wellbeing of people. This study uses data from the Scopus database in 2015 (to assess the impact on citations in 2021, after more than 5 years) concerning different disciplines of life science, given by “agricultural and biological sciences”, “biochemistry, genetics, and molecular biology”, “Immunology and microbiology”, “neuroscience” and “pharmacology, toxicology and pharmaceutics”. Results demonstrate that although journals publish un-funded articles more than funded publications in all disciplines of life science, the fraction of total citations in funded papers is higher than the share in the total number of publications. In short, funded documents receive more citations than un-funded papers in all research fields of life science under study. Findings also support that citations of total (funded + un-funded), funded, and un-funded published papers have a power-law distribution in all five research fields of life science. Original results here reveal a general property in scientific development: funded research has a higher scaling potential than un-funded publications. Critical implications of research policy, systematized in a decision-making matrix, suggest that R&D investments in “Neuroscience” can generate a positive impact of scientific results in science and society-in terms of citations-higher than other research fields in medicine. Overall, then, results here can explain some characteristics driving scientific change and help policymakers and scholars to allocate resources towards research fields that facilitate the development and diffusion of scientific research and knowledge in life science for positive societal impact.

Suggested Citation

  • Melika Mosleh & Saeed Roshani & Mario Coccia, 2022. "Scientific laws of research funding to support citations and diffusion of knowledge in life science," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1931-1951, April.
  • Handle: RePEc:spr:scient:v:127:y:2022:i:4:d:10.1007_s11192-022-04300-1
    DOI: 10.1007/s11192-022-04300-1
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    References listed on IDEAS

    as
    1. Rodríguez-Navarro, Alonso & Brito, Ricardo, 2018. "Double rank analysis for research assessment," Journal of Informetrics, Elsevier, vol. 12(1), pages 31-41.
    2. Benavente, José Miguel & Crespi, Gustavo & Figal Garone, Lucas & Maffioli, Alessandro, 2012. "The impact of national research funds: A regression discontinuity approach to the Chilean FONDECYT," Research Policy, Elsevier, vol. 41(8), pages 1461-1475.
    3. 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.
    4. Guillermo Armando Ronda-Pupo & J. Sylvan Katz, 2018. "The power law relationship between citation impact and multi-authorship patterns in articles in Information Science & Library Science journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 919-932, March.
    5. Star X. Zhao & Wen Lou & Alice M. Tan & Shuang Yu, 2018. "Do funded papers attract more usage?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 153-168, April.
    6. Loet Leydesdorff & Lutz Bornmann & Caroline S. Wagner, 2019. "The Relative Influences of Government Funding and International Collaboration on Citation Impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(2), pages 198-201, February.
    7. Mario Coccia, 2020. "The evolution of scientific disciplines in applied sciences: dynamics and empirical properties of experimental physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 451-487, July.
    8. Jue Wang & Philip Shapira, 2011. "Funding acknowledgement analysis: an enhanced tool to investigate research sponsorship impacts: the case of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 563-586, June.
    9. Vincent Larivière & Yves Gingras, 2010. "The impact factor's Matthew Effect: A natural experiment in bibliometrics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(2), pages 424-427, February.
    10. Mario Coccia & Barry Bozeman, 2016. "Allometric models to measure and analyze the evolution of international research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1065-1084, September.
    11. Dag W. Aksnes & Liv Langfeldt & Paul Wouters, 2019. "Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories," SAGE Open, , vol. 9(1), pages 21582440198, February.
    12. Jeff Alstott & Ed Bullmore & Dietmar Plenz, 2014. "powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-11, January.
    13. Mario Coccia, 2018. "General properties of the evolution of research fields: a scientometric study of human microbiome, evolutionary robotics and astrobiology," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1265-1283, November.
    14. Gillespie, Colin S., 2015. "Fitting Heavy Tailed Distributions: The poweRlaw Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 64(i02).
    15. Ayoubi, Charles & Pezzoni, Michele & Visentin, Fabiana, 2019. "The important thing is not to win, it is to take part: What if scientists benefit from participating in research grant competitions?," Research Policy, Elsevier, vol. 48(1), pages 84-97.
    16. Juan Miguel Campanario & Jesús Carretero & Vera Marangon & Antonio Molina & Germán Ros, 2011. "Effect on the journal impact factor of the number and document type of citing records: a wide-scale study," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 75-84, April.
    17. Jacob, Brian A. & Lefgren, Lars, 2011. "The impact of research grant funding on scientific productivity," Journal of Public Economics, Elsevier, vol. 95(9), pages 1168-1177.
    18. Alonso Rodríguez-Navarro & Ricardo Brito, 2019. "Probability and expected frequency of breakthroughs: basis and use of a robust method of research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 213-235, April.
    19. Nabil Amara & Réjean Landry & Norrin Halilem, 2015. "What can university administrators do to increase the publication and citation scores of their faculty members?," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 489-530, May.
    20. Marlie MacLean & Catherine Davies & Grant Lewison & Joe Anderson, 1998. "Evaluating the research activity and impact of funding agencies," Research Evaluation, Oxford University Press, vol. 7(1), pages 7-16, April.
    21. Vincent Larivière & Yves Gingras, 2010. "The impact factor's Matthew Effect: A natural experiment in bibliometrics," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(2), pages 424-427, February.
    22. Souzanchi Kashani, Ebrahim & Roshani, Saeed, 2019. "Evolution of innovation system literature: Intellectual bases and emerging trends," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 68-80.
    23. Coccia, Mario, 2019. "Why do nations produce science advances and new technology?," Technology in Society, Elsevier, vol. 59(C).
    24. Mario Coccia, 2005. "A scientometric model for the assessment of scientific research performance within public institutes," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(3), pages 307-321, December.
    25. Mario Coccia & Greta Falavigna & Alessandro Manello, 2015. "The impact of hybrid public and market-oriented financing mechanisms on the scientific portfolio and performances of public research labs: a scientometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 151-168, January.
    26. Grit Laudel, 2006. "The art of getting funded: How scientists adapt to their funding conditions," Science and Public Policy, Oxford University Press, vol. 33(7), pages 489-504, August.
    27. Saeed Roshani & Mohammad-Reza Bagherylooieh & Melika Mosleh & Mario Coccia, 2021. "What is the relationship between research funding and citation-based performance? A comparative analysis between critical disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7859-7874, September.
    28. Beaudry, Catherine & Allaoui, Sedki, 2012. "Impact of public and private research funding on scientific production: The case of nanotechnology," Research Policy, Elsevier, vol. 41(9), pages 1589-1606.
    29. Coccia, Mario, 2022. "Probability of discoveries between research fields to explain scientific and technological change," Technology in Society, Elsevier, vol. 68(C).
    30. Erjia Yan & Chaojiang Wu & Min Song, 2018. "The funding factor: a cross-disciplinary examination of the association between research funding and citation impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 369-384, April.
    31. Ye, Fred Y. & Rousseau, Ronald, 2008. "The power law model and total career h-index sequences," Journal of Informetrics, Elsevier, vol. 2(4), pages 288-297.
    32. Li, Eldon Y. & Liao, Chien Hsiang & Yen, Hsiuju Rebecca, 2013. "Co-authorship networks and research impact: A social capital perspective," Research Policy, Elsevier, vol. 42(9), pages 1515-1530.
    33. Fernanda Morillo, 2020. "Is open access publication useful for all research fields? Presence of funding, collaboration and impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 689-716, October.
    34. John Rigby, 2013. "Looking for the impact of peer review: does count of funding acknowledgements really predict research impact?," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 57-73, January.
    35. Mario Coccia, 2019. "Metabolism of Public Research Organizations: How Do Laboratories Consume State Subsidies?," Public Organization Review, Springer, vol. 19(4), pages 473-491, December.
    36. Guillermo Armando Ronda-Pupo & J. Sylvan Katz, 2016. "The scaling relationship between citation-based performance and international collaboration of Cuban articles in natural sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1423-1434, June.
    37. Thelwall, Mike & Wilson, Paul, 2014. "Regression for citation data: An evaluation of different methods," Journal of Informetrics, Elsevier, vol. 8(4), pages 963-971.
    38. Abdullah Gök & Alec Waterworth & Philip Shapira, 2015. "Use of web mining in studying innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 653-671, January.
    39. Mario Coccia, 2009. "Research performance and bureaucracy within public research labs," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 93-107, April.
    40. Derek De Solla Price, 1976. "A general theory of bibliometric and other cumulative advantage processes," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 27(5), pages 292-306, September.
    41. Mario Coccia, 2020. "How ( Un )sustainable Environments Are Related to the Diffusion of COVID-19: The Relation between Coronavirus Disease 2019, Air Pollution, Wind Resource and Energy," Sustainability, MDPI, vol. 12(22), pages 1-12, November.
    42. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.
    43. 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.
    44. Caroline S. Wagner & Koen Jonkers, 2017. "Open countries have strong science," Nature, Nature, vol. 550(7674), pages 32-33, October.
    45. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2018. "Research assessment by percentile-based double rank analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 315-329.
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