Simple Identification of Mycobacterial Species by Sequence-Specific Multiple Polymerase Chain Reactions
Current Microbiology, ISSN: 1432-0991, Vol: 76, Issue: 7, Page: 791-798
2019
- 2Citations
- 11Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations2
- Citation Indexes2
- Captures11
- Readers11
- 11
Article Description
Several species of mycobacteria cause infections in humans. Species identification of clinical isolates of mycobacteria is very important for the decision of treatment and in choosing the appropriate treatment regimen. We have developed a multiplex PCR method that can identify practically all known species of mycobacteria, by determination of single-nucleotide differences at a total of 13 different polymorphic regions in the genes of rRNA and hsp65, in four PCR mixes. To achieve this goal, single-nucleotide differences in these polymorphic regions were used to divide mycobacterial species into two groups, than four, eight, etc., in an algorithmic manner. It was sufficient to reach single species level by evaluating 13 polymorphic regions. Evaluation of the multiplex PCR patterns by observable real-time electrophoresis (ORTE) simplified species identification. This new method may enable easy, rapid, and cost-effective identification of all species of mycobacteria.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85065637213&origin=inward; http://dx.doi.org/10.1007/s00284-019-01661-4; http://www.ncbi.nlm.nih.gov/pubmed/31073733; http://link.springer.com/10.1007/s00284-019-01661-4; https://dx.doi.org/10.1007/s00284-019-01661-4; https://link.springer.com/article/10.1007/s00284-019-01661-4
Springer Science and Business Media LLC
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