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Critical Reviews™ in Eukaryotic Gene Expression

Published 6 issues per year

ISSN Print: 1045-4403

ISSN Online: 2162-6502

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.6 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 2.2 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00058 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.33 SJR: 0.345 SNIP: 0.46 CiteScore™:: 2.5 H-Index: 67

Indexed in

Detection of RNA Viruses: Current Technologies and Future Perspectives

Volume 23, Issue 2, 2013, pp. 125-137
DOI: 10.1615/CritRevEukaryotGeneExpr.2013006974
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ABSTRACT

RNA viruses constitute one of the major classes of pathogenic organisms causing human diseases, with varying degrees of severity. This review summarizes the conventional and emerging technologies that are available for the detection of these organisms. Cell culture−based techniques for viral detection have been popular since their inception and continue to be the gold standard against which all other techniques. Over many years, these techniques have undergone some radical changes, reducing the total time needed for detection and improving sensitivity, although even with their reliability and improved features they are being slowly replaced by nucleic acid−based technologies. These molecular detection techniques have revolutionized the area of viral detection by their high sensitivity, selectivity, and short detection time. The majority of nucleic acid−based techniques depend on amplifying viral RNA; however, there are some newer emerging techniques that detect viral RNA in live cells using various configurations of florescent probes. In addition, nucleic acid−based technology has made it possible for multiviral detection with either multiplex polymerase chain reaction assays or microarrays. Every technique described in this review has its own unique abilities, making them indispensable for viral detection. However, we believe that nucleic acid−based technologies will find widespread use after being standardized, limiting other technologies to very specific uses.

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