updated abstract

Author: MSenden

README.md

@@ -7,7 +7,7 @@ Senden, M. (2025). The Evolving Landscape of Neuroscience [Preprint]. bioRxiv. [
 This repository contains scripts and notebooks for analyzing and visualizing neuroscience research through large-scale data collection, filtering, clustering, and semantic analysis of scientific articles.
 
 ## Abstract
-Neuroscience emerged as a distinct academic discipline during the 20th century and has undergone rapid expansion since then. However, a comprehensive analysis of its evolving landscape remains lacking. The present study provides a large-scale, data-driven, mapping of neuroscience research. Leveraging large language models and clustering techniques to analyze 461,316 articles published between 1999 and 2023, this study reveals the field's structural organization and highlights dominant themes. Citation network analysis uncovers a surprisingly integrated picture and key intellectual hubs that shape the broader research landscape. An analysis of how research clusters align with pre-defined dimensions demonstrates a strong experimental focus, widespread reliance on micro theories, and a growing emphasis on applied and translational research.  At the same time, fundamental research is at the risk of decline while theoretical work and cross-scale integration remain limited. This study provides a framework for understanding neuroscience's trajectory and identifies potential avenues for strengthening the field.
+Neuroscience emerged as a distinct academic discipline during the 20th century and has undergone rapid expansion and diversification. A comprehensive analysis of its evolving landscape becomes increasingly important to retain an overview of cross-domain insights and research questions. This study leverages text-embedding and clustering techniques together with large language models to analyze 461,316 articles published between 1999 and 2023 and reveals the field's structural organization and dominant research domains. Inter-cluster citation analysis uncovers a surprisingly integrated picture and key intellectual hubs that shape the broader research landscape. An analysis of how research clusters align with pre-defined dimensions demonstrates a strong experimental focus, widespread reliance on specific mechanistic explanations rather than unifying theoretical frameworks, and a growing emphasis on applied research. Fundamental research is at the risk of decline and cross-scale integration remains limited. This study provides a framework for understanding neuroscience's trajectory and identifies potential avenues for strengthening the field.
 
 ## Repository Structure
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