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THE SCENAPIO OF BRAZILIAN HEALTH SCIENCES IN THE PERIOD OF 1981 TO 1995

机译:1981年至1995年巴西健康科学的景象

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Ensuing a previous study of Brazilian sciences production for the period 1981-95, health sciences were taken apart for scrutiny. ISI data was obtained in an aggregate format comprising 40 health research fields recording their yearly number of papers, proportion out of the country, proportion out of the field, and impact relative to field. Simple linear regression was used to examine time trends in production and impact of research fields. A complementary variable representing growth trend was computed as the regression slope. Data were then analysed by means of Factor and Correspondence Analysis. Results allowed the production of location maps of research fields so that hierarchy and relationships among them could be examined in the form of geometric distances. It was found that health sciences represent 42% of the Brazilian scientific production and that their trends in both production and impact do not differ from other sciences taken altogether. Measurements of production were found negatively correlated with impact and factor analysis revealed that the major distinction between fields is attributable to production (64% of measurement variations against 19% due to impact). Experimental Biology & Medicine largely exceeds other fields in production, though at ordinary levels of impact. Correspondence analysis refined the study of impact allowing the identification of the best performers as Clinical Immunology & Infectious Diseases, Environmental & Social Medicine, and Radiology & Nuclear Medicine. The information provided can advise national policy makers on science &
机译:随后进行了对1981-95年间巴西科学生产的研究,因此对健康科学进行了审查。 ISI数据以总计格式获得,包括40个健康研究领域,记录其年度论文数量,在国外的比例,在领域之外的比例以及相对于领域的影响。简单线性回归用于检验生产中的时间趋势和研究领域的影响。计算代表增长趋势的互补变量作为回归斜率。然后通过因子和对应分析来分析数据。结果允许产生研究领域的位置图,从而可以以几何距离的形式检查它们之间的层次和关系。研究发现,健康科学占巴西科学生产的42%,其在生产和影响方面的趋势与其他科学相差无几。发现生产的度量与影响负相关,因素分析显示,字段之间的主要区别是由于生产(因影响而导致的度量差异为64%,而影响为19%)。尽管具有普通的影响水平,但实验生物学与医学在很大程度上超越了其他生产领域。函授分析完善了对影响的研究,从而确定了表现最佳者,例如临床免疫学和传染病,环境与社会医学以及放射与核医学。提供的信息可以为科学和技术领域的国家决策者提供建议

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