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Detection of Neurological and Ophthalmological Pathologies with Optical Coherence Tomography Using Retinal Thickness Measurements: A Bibliometric Study
Applied Sciences ( IF 2.5 ) Pub Date : 2020-08-07 , DOI: 10.3390/app10165477
F. Javier Povedano-Montero , Robert N. Weinreb , Isidoro Raga-Martínez , Alejandro Romero , Francisco López-Muñoz

We carry out a bibliometric analysis on neurological and ophthalmological pathologies based on retinal nerve fiber layer (RNFL) thickness measured with optical coherence tomography (OCT). Documents were selected from Scopus database. We have applied the most commonly used bibliometric indicators, both for production and dispersion, as Price’s law of scientific literature growth, Lotka’s law, the transient index, and the Bradford model. Finally, the participation index of the different countries and affiliations was calculated. Two-hundred-and-forty-one documents from the period 2000–2019 were retrieved. Scientific production was better adjusted to linear growth (r = 0.88) than exponential (r = 0.87). The duplication time of the documents obtained was 5.6 years. The transience index was 89.62%, which indicates that most of the scientific production is due to very few authors. The signature rate per document was 5.2. Nine journals made up the Bradford core. USA and University of California present the highest production. The most frequently discussed topics on RNFL thinning are glaucoma and neurodegenerative diseases (NDD). The growth of the scientific literature on RNFL thickness was linear, with a very high rate of transience, which indicates low productivity and the presence of numerous authors who sporadically publish on this topic. No evidence of a saturation point was observed. In the last 10 years, there has been an increase in documents relating the decline of RNFL to NDD.

中文翻译:

使用视网膜厚度测量的光学相干断层扫描技术检测神经和眼科病理学:一项文献计量学研究

我们根据光学相干断层扫描(OCT)测量的视网膜神经纤维层(RNFL)厚度对神经病学和眼科病理学进行了文献计量分析。从Scopus数据库中选择文档。我们已将最常用的文献计量指标用于生产和分散,包括科学文献增长的普赖斯定律,洛特卡定律,瞬态指数和布拉德福德模型。最后,计算了不同国家和隶属关系的参与指数。检索了2000-2019年的241个文档。科学生产的线性增长(r = 0.88)比指数增长(r= 0.87)。所获得文件的复印时间为5.6年。瞬态指数为89.62%,这表明大部分科学成果是由极少的作者撰写的。每个文档的签名率为5.2。布拉德福德大学的核心期刊共九本。美国和加利福尼亚大学的产量最高。关于RNFL变薄最经常讨论的主题是青光眼和神经退行性疾病(NDD)。关于RNFL厚度的科学文献的增长是线性的,并且具有很高的瞬态率,这表明生产率低下,并且散发着有关该主题的众多作者的存在。没有观察到饱和点的证据。在过去的十年中,有关RNFL下降与NDD下降的文件有所增加。
更新日期:2020-08-08
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