The Loughborough Research Repository currently contains over contains 56,508 items.

Staff processed 358 new research deposits during October 2024.The 5 most downloaded articles from the repository are below. These figures comes from IRUS UK, a JISC funded service that provides standardised statistical tools for measuring institutional repositories.

• Hignett, Sue; McDermott, Hilary (2015). Qualitative methodology for ergonomics. Loughborough University. Chapter. https://hdl.handle.net/2134/23558 Downloads 213
• Keiningham, Timothy; Aksoy, Lerzan; Bruce, Helen L.; Cadet, Fabienne; Clennell, Natasha; Hodgkinson, Ian; et al. (2019). Customer experience driven business model innovation. Loughborough University. Journal contribution. https://hdl.handle.net/2134/9205919.v1 Downloads 161
• Hogervorst, Eef; Craig, Jen; ODonnell, Emma (2021). Cognition and mental health in menopause: a review. Loughborough University. Journal contribution. https://hdl.handle.net/2134/17155811.v1 Downloads 149
• Asadullah, Ahmad; Faik, Isam; Kankanhalli, Atreyi (2018). Digital platforms: a review and future directions. Loughborough University. Conference contribution. https://hdl.handle.net/2134/24081825.v1 Downloads 148
• Greipl, Simon; Moeller, Korbinian; Ninaus, Manuel (2020). Potential and limits of game-based learning. Loughborough University. Journal contribution. https://hdl.handle.net/2134/13621973.v1 Downloads 124

There are other items which, while not having the highest number of downloads, have had the the highest increase over the last three months. These are items that seem to be attracting interest.

• Hodgen, Jeremy; Foster, Colin; Marks, Rachel; Brown, Margaret (2018). Evidence for review of mathematics teaching: Improving mathematics in key stages two and three. Loughborough University. Report. https://hdl.handle.net/2134/36958
• Arcelus, Jon; Witcomb, Gemma; Mitchell, Alex (2014). Prevalence of eating disorders amongst dancers: a systemic review and meta-analysis. Loughborough University. Journal contribution. https://hdl.handle.net/2134/18993
• He, Yu; Song, Kechen; Meng, Qinggang; Yan, Yunhui (2019). An end-to-end steel surface defect detection approach via fusing multiple hierarchical features. Loughborough University. Journal contribution. https://hdl.handle.net/2134/12249215.v1

This information was collated by a Rising Items app created by Lara, our Research Data Manager. If you are interested in the statistics of the repository (and why wouldn’t you be?) she has developed more tools such Map your repository for tracking which countries download our research.