Results 161 to 170 of about 572,962 (244)
The Historical Evolution of Microlearning in Health Professions Education: Bibliometric Analysis. [PDF]
De Gagne JC +4 more
europepmc +1 more source
Abstract The promises and perils about scientific team diversity are still debated in the scholarly literature, partly because the importance of underrepresented groups is not fully recognized or valued. In this paper, we summarize two perspectives on team diversity in science: horizontal differences and vertical disparity. Horizontal differences refer
Huimin Xu +8 more
wiley +1 more source
Global research trends of lean metabolic dysfunction-associated steatotic liver disease (lean MASLD) from 2005 to 2024: Bibliometric and visualization analysis. [PDF]
Yu Q, Liu M, He L, Hua F.
europepmc +1 more source
Abstract Cross‐disciplinary research is a priority for many academic institutions, with a growing body of scholarship dedicated to studying the central practice of cross‐disciplinarity: integration, or the synthesis of knowledge, information, and data across disciplines and domains.
Ciara Zogheib
wiley +1 more source
Advancing the understanding of tumor microenvironment through medical imaging based on bibliometric analysis. [PDF]
Huang K +7 more
europepmc +1 more source
Abstract This review analyzed 241 scholarly articles published between 2010 and 2025 in information science venues to examine how affect shapes refugees' information behavior during forced migration and to identify additional contextual factors. It identifies seven affective dimensions: anxiety, shame and stigma, grief and loss, frustration, (mis)trust,
Maja Krtalić, Lilach Alon
wiley +1 more source
Two decades of nutrition research in polycystic ovary syndrome: emerging patterns and scientific output (2004-2024). [PDF]
Aydin Cil M, Ulug E.
europepmc +1 more source
Incremental refinement of relevance rankings: Balancing relevance depth and scope
Abstract Delivering both relevant and topically diverse results is a key challenge in information retrieval (IR). This study introduces a hybrid method that incrementally refines rankings by combining probabilistic topic modeling (latent dirichlet allocation [LDA]) with citation‐based pennant retrieval grounded in Relevance Theory (RT), optimizing for ...
Müge Akbulut, Yaşar Tonta
wiley +1 more source

