The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
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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“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]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
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Citations
Cites
Economic Welfare and the Allocation of Resources for Invention
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Double-slit photoelectron interference in strong-field ionization of the neon dimer
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Cited by
Sorted by citations
Gender-diverse teams produce more novel and higher-impact scientific ideas
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
“In this research we focused on medicine, a large branch of science and among the most funded with its wide array of downstream applications (3, 60).”
BackgroundSelf-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 157
“relationships among scientific publications, there has been growing interest in studying how science interacts with other socioeconomic institutions 35,36,41,55,81,82 .”
BackgroundResultInfluentialSelf-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 143
“Policy documents 67,68 help us to understand the role of science in the halls of government 69 and policy making 12,68 .”
BackgroundSelf-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
“Given that tomorrow’s technological developments often begin upstream from basic scientific research 128–130 , a more robust understanding of the impact of AI on science may further inform a range of important policy considerations for the future of education, research and innovation 2–4 .”
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
“To fill this gap, we draw on methods from the growing measurement literature on innovation in translational sciences [1, 7, 45, 50, 77], where patent citations to research have been regarded as a valuable proxy of the impact that science has on industrial practice.”
Method
Metadata
- 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 › Library and Information Sciences › scientometrics and bibliometrics research
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Research, Science, and Academia
- Social Sciences › Library and Information Sciences › 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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