Type
Funder
Country
—
Documents
5
through any edge
Papers
0
authorship edges
Awards made
4
4 grant numbers
Named as funder
5
no grant number
Identifiers
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
What University of London has funded
4 awards under 4 distinct grant numbers, across 4 documents. A further 5 documents name it as a funder without a grant number — a weaker claim, counted separately.
An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional surveygrant ETH1920-1989 · 2022-06-14Knowledge, perceptions, and expectations of Artificial intelligence in radiography practice: A global radiography workforce surveygrant ETH1920-0591 · 2022-12-17In Conversation with Jennifer Walshe: Performing with Intelligent Machinesgrant MR/T043059/1 · 2023-05-04“Donald Trump Is My President!”: The Internet Research Agency Propaganda Machinegrant 90608SS · 2019-04-01
4 of 9 funding edges