Public use and public funding of science
Open accessAbstract
Knowledge of how science is consumed in public domains is essential for understanding the role of science in human society. Here we examine public use and public funding of science by linking tens of millions of scientific publications from all scientific fields to their upstream funding support and downstream public uses across three public domains—government documents, news media and marketplace invention. We find that different public domains draw from various scientific fields in specialized ways, showing diverse patterns of use. Yet, amidst these differences, we find two important forms of alignment. First, we find universal alignment between what the public consumes and what is highly impactful within science. Second, a field’s public funding is strikingly aligned with the field’s collective public use. Overall, public uses of science present a rich landscape of specialized consumption, yet, collectively, science and society interface with remarkable alignment between scientific use, public use and funding. Studying production, funding and consumption of science, the authors find a strong alignment between what the public consumes and what is impactful, as well as an alignment between funding and collective public use.
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Decisions about allocation of taxpayer dollars influence which scientific ideas receive support, which fields advance, and which investigators are able to initiate and sustain research programs.
“Through competitive grant programs at agencies such as the NSF and the NIH, decisions about the allocation of taxpayer dollars influence which scientific ideas receive support, which fields advance, and which investigators are able to initiate and sustain research programs (3–10).”
From The rise of large language models and the direction and impact of US federal research funding (2026) · cites this paper as [7]
The Discussion (page unavailable) says that funding allocation involves decisions by legislators and funding agencies that affect what is funded. The Results (page unavailable) examine how public investment varies across research fields. Our copy does not establish that these decisions determine which fields advance or which investigators can initiate and sustain research programs. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe federal funding process plays a central role in shaping the direction, diversity, and long-run impact of the US scientific enterprise and the global research landscape.
“Thus, the federal funding process plays a central role in shaping the direction, diversity, and long-run impact of the US scientific enterprise and—given America’s scientific leadership—the global research landscape as well (3–10).”
From The rise of large language models and the direction and impact of US federal research funding (2026) · cites this paper as [7]
The Abstract calls public investment a central feature of the scientific ecosystem, and the Results and Discussion describe funding decisions and substantial differences in funding across research fields (pages not available in our copy). These passages support the importance of funding to the US scientific enterprise, but they do not establish that the federal funding process shapes scientific diversity or long-run impact, or that its effects extend to the global research landscape. (LLM, conf=0.84)
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Cites
Economic Welfare and the Allocation of Resources for Invention
Arrow, K. J. (1962) · Princeton University Press eBooks · doi:10.1515/9781400879762-024 · Cited by 8,797 · see citing works
Etzkowitz, H., & Loet Leydesdorff, A. (2000) · Research Policy · doi:10.1016/s0048-7333(99)00055-4 · Cited by 8,632 · see citing works
Double-slit photoelectron interference in strong-field ionization of the neon dimer
Kunitski, M., Eicke, N., Huber, P., Köhler, J., Zeller, S., Voigtsberger, J., Schlott, N., Henrichs, K., Sann, H., Trinter, F., et al. (2019) · Institutional Repository of Leibniz Universität Hannover (Leibniz Universität Hannover) · doi:10.15488/5174 · Cited by 8,378 · see citing works
Double-slit photoelectron interference in strong-field ionization of the neon dimer
Kunitski, M., Eicke, N., Huber, P., Köhler, J., Zeller, S., Voigtsberger, J., Schlott, N., Henrichs, K., Sann, H., Trinter, F., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-07882-8 · Cited by 8,162 · see citing works
The Increasing Dominance of Teams in Production of Knowledge
Wuchty, S., Jones, B. F., & Uzzi, B. (2007) · Science · doi:10.1126/science.1136099 · Cited by 3,615 · see citing works
Self-citationPrice, D. J. D. S. (1965) · Science · doi:10.1126/science.149.3683.510 · Cited by 3,121 · see citing works
The Many Meanings of Research Utilization
Weiss, C. H. (1979) · Public Administration Review · doi:10.2307/3109916 · Cited by 2,241 · see citing works
Rising Above The Gathering Storm: Energizing and Employing America for a Brighter Economic Future
Augustine, N. R. (2006) · Cited by 2,066 · see citing works
Fortunato, S., Bergstrom, C. T., Börner, K., Evans, J. A., Helbing, D., Milojević, S., Petersen, A. M., Radicchi, F., Sinatra, R., Uzzi, B., et al. (2018) · Science · doi:10.1126/science.aao0185 · Cited by 1,497 · see citing works
Self-citationOn the sources and significance of interindustry differences in technological opportunities
Klevorick, A. K., Levin, R. C., Nelson, R. R., & Winter, S. G. (1995) · Research Policy · doi:10.1016/0048-7333(93)00762-i · Cited by 1,405 · see citing works
Academic research and industrial innovation
Mansfield, E. (1991) · Research Policy · doi:10.1016/0048-7333(91)90080-a · Cited by 1,277 · see citing works
Race, Ethnicity, and NIH Research Awards
Ginther, D. K., Schaffer, W. T., Schnell, J. D., Masimore, B., Liu, F., Laurel, H., & Kington, R. S. (2011) · Science · doi:10.1126/science.1196783 · Cited by 1,084 · see citing works
Do Altmetrics Work? Twitter and Ten Other Social Web Services
Thelwall, M., Haustein, S., Larivière, V., & Sugimoto, C. R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064841 · Cited by 907 · see citing works
Knowledge as a Global Public Good
Stiglitz, J. E. (1999) · doi:10.1093/0195130529.003.0015 · Cited by 882 · see citing works
Quantifying Long-Term Scientific Impact
Wang, D., Song, C., & Barabási, A.-Ĺ. (2013) · Science · doi:10.1126/science.1237825 · Cited by 850 · see citing works
Self-citationThe Two-Communities Theory and Knowledge Utilization
Caplan, N. S. (1979) · American Behavioral Scientist · doi:10.1177/000276427902200308 · Cited by 845 · see citing works
Universality of citation distributions: Toward an objective measure of scientific impact
Radicchi, F., Fortunato, S., & Castellano, C. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0806977105 · Cited by 828 · see citing works
Microsoft Academic Graph: When experts are not enough
Wang, K., Shen, Z., Huang, C., Wu, C.-H., Dong, Y.-X., & Kanakia, A. (2020) · Quantitative Science Studies · doi:10.1162/qss_a_00021 · Cited by 808 · see citing works
Self-citationWhat is societal impact of research and how can it be assessed? a literature survey
Bornmann, L. (2012) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22803 · Cited by 732 · see citing works
Costas, R., Zahedi, Z., & Wouters, P. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23309 · Cited by 711 · see citing works
Interdisciplinary research has consistently lower funding success
Bromham, L. D., Dinnage, R., & Hua, X. (2016) · Nature · doi:10.1038/nature18315 · Cited by 602 · see citing works
Jewkes, J., Sawers, D., & Stillerman, R. (1969) · Palgrave Macmillan UK eBooks · doi:10.1007/978-1-349-00015-9 · Cited by 525 · see citing works
Boudreau, K. J., Guinan, E. C., Lakhani, K. R., & Riedl, C. (2014) · Management Science · doi:10.1287/mnsc.2015.2285 · Cited by 489 · see citing works
The Extent and Determinants of the Utilization of University Research in Government Agencies
Landry, R., Ламари, М., & Amara, N. (2003) · Public Administration Review · doi:10.1111/1540-6210.00279 · Cited by 402 · see citing works
How a torrent of COVID science changed research publishing — in seven charts
Else, H. (2020) · Nature · doi:10.1038/d41586-020-03564-y · Cited by 387 · see citing works
Rosvall, M., & Bergstrom, C. T. (2011) · PLoS ONE · doi:10.1371/journal.pone.0018209 · Cited by 381 · see citing works
Dimensions: Building Context for Search and Evaluation
Hook, D. W., Porter, S. J., & Herzog, C. (2018) · Frontiers in Research Metrics and Analytics · doi:10.3389/frma.2018.00023 · Cited by 325 · see citing works
Langrish, J. Z., Gibbons, M., Evans, W. G., & Jevons, F. R. (1972) · Palgrave Macmillan UK eBooks · doi:10.1007/978-1-349-01054-7 · Cited by 317 · see citing works
The dual frontier: Patented inventions and prior scientific advance
Ahmadpoor, M., & Jones, B. F. (2017) · Science · doi:10.1126/science.aam9527 · Cited by 300 · see citing works
Self-citationReliance on science: Worldwide front‐page patent citations to scientific articles
Marx, M., & Fuegi, A. (2020) · Strategic Management Journal · doi:10.1002/smj.3145 · Cited by 271 · see citing works
The roles of science in technological innovation
Gibbons, M., & Johnston, R. J. (1974) · Research Policy · doi:10.1016/0048-7333(74)90008-0 · Cited by 269 · see citing works
Altmetric: enriching scholarly content with article‐level discussion and metrics
Adie, E. A., & William, R. O. E. (2012) · Learned Publishing · doi:10.1087/20130103 · Cited by 224 · see citing works
Wang, D., & Barabási, A.-Ĺ. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108610834 · Cited by 224 · see citing works
Self-citationDimensions: Bringing down barriers between scientometricians and data
Herzog, C., Hook, D., & Konkiel, S. (2020) · Quantitative Science Studies · doi:10.1162/qss_a_00020 · Cited by 219 · see citing works
Government-funded research increasingly fuels innovation
Fleming, L., Greene, H., Li, G., Marx, M., & Yao, D. (2019) · Science · doi:10.1126/science.aaw2373 · Cited by 178 · see citing works
The Two-Communities Metaphor and Models of Knowledge Use
Dunn, W. N. (1980) · Science Communication · doi:10.1177/107554708000100403 · Cited by 173 · see citing works
A Review of Microsoft Academic Services for Science of Science Studies
Wang, K., Shen, Z., Huang, C., Wu, C., Eide, D., Dong, Y., Qian, J., Kanakia, A., Chen, A., & Rogahn, R. (2019) · Frontiers in Big Data · doi:10.3389/fdata.2019.00045 · Cited by 145 · see citing works
Self-citationSnow, C. P. (2013) · Harvard University Press eBooks · doi:10.2307/j.ctvjf9vp8 · Cited by 143 · see citing works
Early-career setback and future career impact
Wang, Y., Jones, B. F., & Wang, D. (2019) · Nature Communications · doi:10.1038/s41467-019-12189-3 · Cited by 137 · see citing works
Self-citationCoevolution of policy and science during the pandemic
Yin, Y., Gao, J., Jones, B. F., & Wang, D. (2021) · Science · doi:10.1126/science.abe3084 · Cited by 127 · see citing works
Self-citationAnatomy of funded research in science
Ma, A., Mondragón, R. J., & Latora, V. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1513651112 · Cited by 102 · see citing works
Quantifying the dynamics of failure across science, startups and security
Yin, Y., Wang, Y., Evans, J. A., & Wang, D. (2019) · Nature · doi:10.1038/s41586-019-1725-y · Cited by 82 · see citing works
Self-citationMedia Coverage of Medical Journals: Do the Best Articles Make the News?
Selvaraj, S., Borkar, D. S., & Prasad, V. K. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085355 · Cited by 60 · see citing works
How Research Affects Policy: Experimental Evidence from 2,150 Brazilian Municipalities
Hjort, J., Moreira, D., Rao, G., & Santini, J. F. (2019) · National Bureau of Economic Research · doi:10.3386/w25941 · Cited by 28 · see citing works
Functional structures of US state governments
Kosack, S., Coscia, M., Smith, E., Albrecht, K., Barabási, A.-Ĺ., & Hausmann, R. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1803228115 · Cited by 27 · see citing works
Reliance on Science by Inventors: Hybrid Extraction of In-text Patent-to-Article Citations
Marx, M., & Fuegi, A. (2020) · National Bureau of Economic Research · doi:10.3386/w27987 · Cited by 27 · see citing works
Adaptability and the Pivot Penalty in SciencePreprint
Hill, R., Yin, Y., Stein, C., Wang, D., & Jones, B. F. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3886142 · Cited by 13 · see citing works
Self-citationThe National Science Foundation: Under the Microscope
Coburn, T. A. (2011) · PsycEXTRA Dataset · doi:10.1037/e584202011-001 · Cited by 11 · see citing works
Flagged first, then by citations
Research works printed but not linked: 7
- Merton, R. K. The Sociology of Science: Theoretical and Empirical Investigations (Univ. of Chicago Press, 1973).
- Mokyr, J. The Gifts of Athena: Historical Origins of the Knowledge Economy (Princeton Univ. Press, 2002).
- Arrow, K. in The Rate and Direction of Inventive Activity: Economic and Social Factors (National Bureau of Economic Research) 609-626 (Princeton Univ. Press, 1962).
- Landau, R., Rosenberg, N. & National Academy of Engineering. The Positive Sum Strategy: Harnessing Technology for Economic Growth (National Academies Press, 1986).
- National Research Council. Knowledge and Policy: The Uncertain Connection (The National Academies Press, 1978).
- National Research Council. Using Science as Evidence in Public Policy (National Academies Press, 2012).
- Garfield, E. & Merton, R. K. Citation Indexing: Its Theory and Application in Science, Technology, and Humanities. Vol. 8 (Wiley New York, 1979).
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Yang, Y., Tian, T. Y., Woodruff, T. K., Jones, B. F., & Uzzi, B. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2200841119 · Cited by 361 · see citing works
Self-citationSciSciNet: A large-scale open data lake for the science of science research
Lin, Z., Yin, Y., Liu, L., & Wang, D. (2023) · Scientific Data · doi:10.1038/s41597-023-02198-9 · Cited by 135 · see citing works
Self-citationData, measurement and empirical methods in the science of science
Liu, L., Jones, B. F., Uzzi, B., & Wang, D. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01562-4 · Cited by 129 · see citing works
Self-citationQuantifying the use and potential benefits of artificial intelligence in scientific research
Gao, J., & Wang, D. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-02020-5 · Cited by 81 · see citing works
Self-citationBreaking Out of the Ivory Tower: A Large-scale Analysis of Patent Citations to HCI Research
Cao, H., Lu, Y., Deng, Y., McFarland, D. A., & Bernstein, M. S. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581108 · Cited by 63 · see citing works
Rehman, O. A., Borri, E., Palomba, V., Frazzica, A., Brancato, V., Botargues, T., & Cabeza, L. F. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.112795 · Cited by 30 · see citing works
Global distribution of research efforts, disease burden, and impact of US public funding withdrawal
Schmallenbach, L., Bley, M., Bärnighausen, T., Sugimoto, C. R., Lerchenmüller, C., & Lerchenmueller, M. (2025) · Nature Medicine · doi:10.1038/s41591-025-03923-0 · Cited by 33 · see citing works
Fueling the fire? How government support drives technological progress and complexity
Nast, C., Broekel, T., & Entner, D. (2024) · Research Policy · doi:10.1016/j.respol.2024.105005 · Cited by 27 · see citing works
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Yang, A. J., Gong, H., Wang, Y., Zhang, C., & Deng, S. (2023) · Scientometrics · doi:10.1007/s11192-023-04889-x · Cited by 25 · see citing works
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Yang, A. J., Yan, X., Hu, H., Hu, H., Kong, J., & Deng, S. (2024) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24947 · Cited by 22 · see citing works
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Yang, A. J. (2023) · Journal of Informetrics · doi:10.1016/j.joi.2023.101480 · Cited by 22 · see citing works
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Shao, E., Wang, Y., Qian, Y., Pan, Z., Liu, H., & Wang, D. (2025) · Nature Computational Science · doi:10.1038/s43588-025-00906-6 · Cited by 26 · see citing works
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Zhang, Y., Cheng, H., Shen, Z., Liu, X., Wang, Y., & Gao, J. (2023) · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · doi:10.18653/v1/2023.findings-emnlp.820 · Cited by 13 · see citing works
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Krauß, A. (2024) · Oxford University Press eBooks · doi:10.1093/9780198937401.003.0003
Krauß, A. (2024) · Oxford University Press eBooks · doi:10.1093/9780198937401.003.0007
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Krauß, A. (2024) · Oxford University Press eBooks · doi:10.1093/9780198937401.005.0001
Krauß, A. (2024) · Oxford University Press eBooks · doi:10.1093/9780198937401.003.0016 · Cited by 1 · see citing works
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Krauß, A. (2024) · Oxford University Press eBooks · doi:10.1093/9780198937401.003.0006
Krauß, A. (2024) · Oxford University Press eBooks · doi:10.1093/9780198937401.003.0002
- Authors
- Yin, Y., Dong, Y., Wang, K., Wang, D., & Jones, B. F.
- Affiliations
- Northwestern University (US)
- Microsoft (United States) (US)
- Corresponding author
- Wang, Dashun
- Jones, Benjamin F.
- Venue
- Nature Human Behaviour
- Published
- 2022-07-07
- Volume
- 6
- Issue
- 10
- Pages
- 1344-1350
- ISSN
- 2397-3374 (ISSN-L)
- OpenAlex
- W4284704491
- Cited by
- 123
- References
- 48
- Citations by year
- 2026: 10 · 2025: 22 · 2024: 65 · 2023: 21 · 2022: 5
- FWCI
- 17.07
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature Human Behaviour (publishedVersion, public-domain)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research
- National Science Foundation
- Alfred P. Sloan Foundation
- Peter G. Peterson Foundation
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Social Sciences › Decision Sciences › Information Systems and Management › Research, Science, and Academia
- Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
- Keywords
- research funding, scientific publications, government documents, news media, science-society interface
- MeSH terms
- Humans, Mass Media, Knowledge
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