Peer-Reviewed Articles Maxime Holmberg Sainte-Marie
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Holmberg TT, Sainte-Marie M, Jensen EK, Linnet J, Lichtenstein MB, Tarp K. 2023. A mixed- methods investigation into impact of motivation type on adherence and effect in iCBT for binge eating disorder. European Psychiatry 66, Suppl. 1, S461
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Holmberg TT, Sainte-Marie M, Jensen EK, Linnet J, Runge E, Lichtenstein MB, Tarp K. 2022. An analysis of patient motivation for seeking online treatment for binge eating disorder - A mixed methods study combining systematic text condensation with sentiment analysis. Frontiers in Psychiatry, 13:969115.
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Horbach, S.P.J.M., Schneider, J.W., Sainte-Marie, M. 2022. Ungendered writing: Writing styles are unlikely to account for gender differences in funding rates in the natural and technical sciences. Journal of Informetrics, 16(4), 101332
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Paul-Hus, A., Mongeon, P., Sainte-Marie, P. et Larivière, V. (2020). Who are the acknowledgees? An analysis of gender and academic status. Quantitative Science Studies, 1(2), 582–598.
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Sainte-Marie, M., Mongeon, P. et Larivière, V. (2020). On the topicality and research impact of special issues. Quantitative Science Studies, 1(1), 303-319.
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Quan, W., Mongeon, P., Sainte-Marie, M., Zhao, R., Larivière, V. (2019). On the development of China’s leadership in international collaborations. Scientometrics, 120 (2), 707-721.
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Quan, W., Mongeon, P., Sainte-Marie, M., Zhao, R., & Larivière, V. (2019). On the development of China’s leadership in international collaborations. Scientometrics, 120(2), 707–721.
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Sainte-Marie M., Ridenour L., Larivière V. 2019. Examining Communities in the Transdisciplinary Area of Cognitive Science: Automatic Classification for Examining Communities in the Web of Science Using Unsupervised Clustering Methods. Advances in Classification Research Online: 27- 29. Available at: https://tinyurl.com/vvn9592
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Cameron-Pesant, S., Sainte-Marie, M., Janssen, Y., Larivière, V. (2018). Criminologie à portée de clic : analyse de l’usage de la revue numérique. Criminologie, 51(1) : 111-142.
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Bérubé, N., Sainte-Marie, M., Mongeon, P., Larivière, V. (2018). Words by the tail: Assessing lexical diversity in scholarly titles using frequency-rank distribution tail fits. PLOS ONE, 13(7) : e0197775.
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Paul-Hus, A., Diaz-Faes, A.A., Sainte-Marie, M., Desrochers, N., Costas, R., Larivière, V. 2017. Beyond funding: Acknowledgement patterns in biomedical, natural and social sciences. PLoSONE 12(10): e0185578.
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Sainte-Marie M, Gauvin JF, Larivière V. 2017. Les collections muséales au service de la science: une analyse de la Collection of Historical Scientific Instruments de l’université Harvard. Document numérique 20(2-3) : 137-158.
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Paul-Hus, A., Mongeon, P., Sainte-Marie, M., Larivière, V. (2017). The sum of it all: revealing collaboration patterns by combining authorship and acknowledgements. Journal of Informetrics, 11(1): 80-87
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Chartier JF, Sainte-Marie M, Danis J, Chartrand L, Meunier JG. (2012). Nouveaux outils, nouveaux jeux de mots: perspectives de recherche et applications de la LATAO. Cahiers de l’ISC 3, 91-99.
