an analysis of the abstracts presented at the annual meetings of the society for neuroscience from 2001 to 2006抽象的分析提出的神经科学学会的年度会议从2001年到2006年.pdfVIP

An Analysis of the Abstracts Presented at the Annual Meetings of the Society for Neuroscience from 2001 to 2006 1 1 1 2 1 1 John M. Lin *, Jason W. Bohland , Peter Andrews , Gully A. P. C. Burns , Cara B. Allen , Partha P. Mitra 1 Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America, 2 Information Sciences Institute, University of Southern California, Los Angeles, California, United States of America Abstract Annual meeting abstracts published by scientific societies often contain rich arrays of information that can be computationally mined and distilled to elucidate the state and dynamics of the subject field. We extracted and processed abstract data from the Society for Neuroscience (SFN) annual meeting abstracts during the period 2001–2006 in order to gain an objective view of contemporary neuroscience. An important first step in the process was the application of data cleaning and disambiguation methods to construct a unified database, since the data were too noisy to be of full utility in the raw form initially available. Using natural language processing, text mining, and other data analysis techniques, we then examined the demographics and structure of the scientific collaboration network, the dynamics of the field over time, major research trends, and the structure of the sources of research funding. Some interesting findings include a high geographical concentration of neuroscience research in the north eastern United States, a surprisingly large transient population (66% of the authors appear in only one out of the six studied years), the central role played by the study of neurodegenerative disorders in the neuroscience community, and