BMJ Impact Analytics


  • Simon Neilson BMJ


impact, metrics, health research, Artificial Intelligence, machine learning


Research that improves patients' lives matters deeply to the funders, institutions and researchers who dedicate their resources to medical and health research. As part of our vision for a healthier world, BMJ engaged with the medical and health research community about the evidence that demonstrates genuine real-world impact and how it can be discovered. In the course of this research, many research managers in health and medicine shared the related challenges that they face with information overload, time, and data quality. It became apparent that AI and Machine Learning can help with finding and tracking vital evidence of real-world impact and also answering questions about research performance and strategies. BMJ began collaborating with Overton to create a prototype that was tested extensively with funders, institutions and researchers. 


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Author Biography

Simon Neilson, BMJ

Simon Neilson is the Open Access Sales Manager for BMJ. He works collaboratively with academic institutions in implementing open access agreements, BMJ’s journal portfolio and clinical decision support tools. Having started his career at BioMed Central, he has amassed over 16 years experience in open access, gaining a breadth of experience across the scholarly academic publishing landscape. Most recently, he was instrumental in the set up and management of BMJ’s Read and Publish agreements, working closely with consortia and institutions to create sustainable agreements.




How to Cite

Neilson, S. (2023). BMJ Impact Analytics. Septentrio Conference Series, (1). Retrieved from