Analysis of legionella infection by flow cytometry
Methods in Molecular Biology, ISSN: 1064-3745, Vol: 954, Page: 233-249
2013
- 20Citations
- 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.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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
- Citations20
- Citation Indexes20
- 20
- CrossRef19
- Captures11
- Readers11
- 11
Book Chapter Description
Legionella pneumophila infects and replicates in environmental protozoa and metazoan macrophages within a specific vacuole. The infection of phagocytes by L. pneumophila can be assessed by an agar plating assay or by fluorescence microscopy. Here, we describe the analysis of Legionella infection by automated flow cytometry using wild-type and mutant bacteria that constitutively produce the green fluorescent protein (GFP). Advantages of the flow cytometry technique include (1) a software-assisted multiple parameter analysis of Legionella infections in real-time at distinct stages of the infection cycle, (2) the simultaneous and fast acquisition of a high number of data points, and (3) a characterization of the infecting bacteria in parallel with the infected host cells. © 2013 Springer Science+Business Media New York.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84872083499&origin=inward; http://dx.doi.org/10.1007/978-1-62703-161-5_14; http://www.ncbi.nlm.nih.gov/pubmed/23150400; https://link.springer.com/10.1007/978-1-62703-161-5_14; https://dx.doi.org/10.1007/978-1-62703-161-5_14; https://link.springer.com/protocol/10.1007/978-1-62703-161-5_14
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know