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Quantifying the impact of clinical-academic collaborations — arXiv:2609.17051

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.17051
License (as archived): CC0-1.0
Archived: 2026-10-15T19:32:16.333Z
SHA-256 of the archived text: ccaeda3da40525c46657ab83e895f9260a7c01b72f82648741830e270d2c3b61
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How to cite

Quantifying the impact of clinical-academic collaborations — arXiv:2609.17051 — arXiv (en), https://arxiv.org/abs/2609.17051 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_96817ab41fa2 (Metraipolis archive dc_96817ab41fa2, sha256 ccaeda3da40525c46657ab83e895f9260a7c01b72f82648741830e270d2c3b61)

BibTeX

@misc{dc96817ab41fa2,
  title = {Quantifying the impact of clinical-academic collaborations — arXiv:2609.17051},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.17051},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_96817ab41fa2; sha256 ccaeda3da40525c46657ab83e895f9260a7c01b72f82648741830e270d2c3b61},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.17051. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Academic collaboration is of self-evident value but requires a quantitative representation to be optimally guided by policy. No established methodological approach to such representation exists. Here we introduce a general framework of graphical and bibliometric analysis of open data for the task of quantifying the impact of academic networks, with NIHR Biomedical Research Centre (BRC) clinical-academic partnerships in England as the prototype. We define publication-level identities for the 20 English BRCs based on the conjunction of authors from each BRC's partner institutions. Drawing on bibliometric and administrative records, we characterise the graphical properties of each network, estimate what the university adds to the hospital's papers, what the partnership adds to the papers of relatively infrastructure-poor collaborating institutions, and how that gain depends on existing infrastructure. We apply our framework to the NIHR UCLH/UCL BRC as an exemplar. UCLH/UCL authored 20,985 network papers from April 2007, in collaboration with 9,868 distinct external partners over the whole record, forming the most central node of the graph of networks across England. University co-authored papers exhibited 1.6 times the field-weighted citation impact (FWCI) of hospital-only papers, and were 2.1 times as likely to be cited by a patent. Across 60 of the exemplar's most partnered with UK healthcare organisations, the benefit rose from 1.8 times where local NIHR infrastructure activity was densest to 3.4 times where it was sparsest, while impact without the exemplar varied little. Academic networks can be robustly identified from open data, enabling comparative analysis of collaborative impact. Applied to NIHR BRCs, the approach enables quantification of the impact across networks and reveals that benefit is most pronounced where infrastructure is least developed.

Tema degli esploratori: ricerca e scienza aperta (retro-catalogo arXiv: annunci del 2026-09-16 in cs.DL).
Categorie arXiv: Digital Libraries (cs.DL) ; Social and Information Networks (cs.SI).
Pagina del lavoro: https://arxiv.org/abs/2609.17051 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-15T18:42:10.743Z dalla pagina https://arxiv.org/catchup/cs.DL/2026-09-16?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).