Commentary on "Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks".
Commentary on "Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks".
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DOI：
10.1093/femsle/fnx018
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发表时间：
2017-05-01
影响因子：
2.1
通讯作者：
Kell DB
中科院分区：
文献类型：
--
作者：
Goodacre R;Kell DB
这是一篇论文的第一作者和最后作者的特邀评论/评论，这篇论文在1996年FEMS微生物学通讯中被引用最多，目前在Web of Science被引用超过150次，在Google Scholar被引用超过200次。这是首次将漫反射吸收红外光谱与人工神经网络形式的监督学习方法相结合，并表明这种组合可以成功地区分一系列密切相关、临床相关的革兰氏阳性细菌。对该杂志1996年被引用次数最多的文章进行了20年的回顾。
This is an invited review/commentary by the first and last authors of a paper that was the most cited in FEMS Microbiology Letters for 1996, presently showing in excess of 150 citations at Web of Science, and over 200 at Google Scholar. It was the first paper in which diffuse reflectance absorbance FT-IR spectroscopy was used with a supervised learning method in the form of artificial neural networks, and showed that this combination could succeed in discriminating a series of closely related, clinically relevant, Gram-positive bacterial strains. A 20-years-on review of the most-cited article from the journal in the year 1996.